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.gitattributes

@@ -56,3 +56,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+character.tscn filter=lfs diff=lfs merge=lfs -text
+tbot_model.tres filter=lfs diff=lfs merge=lfs -text

AIController.gd

@@ -0,0 +1,93 @@
+extends AIController3D
+
+
+# ------------------ Godot RL Agents Logic ------------------------------------#
+# example actions
+
+var movement_action := Vector2(0.0, 0.0)
+var look_action := Vector2(0.0, 0.0)
+var jump_action := false
+var shoot_action := false
+
+var n_steps_without_positive_reward = 0
+
+@onready var wide_raycast_sensor = $WideRaycastSensor
+@onready var narrow_raycast_sensor = $NarrowRaycastSensor
+
+func init(player):
+	_player=player
+
+func set_team(value):
+	wide_raycast_sensor.team = value
+	narrow_raycast_sensor.team = value
+	if value == 0:
+		wide_raycast_sensor.team_collision_mask = 8
+		wide_raycast_sensor.enemy_collision_mask = 16
+		narrow_raycast_sensor.team_collision_mask = 8
+		narrow_raycast_sensor.enemy_collision_mask = 16
+	elif value == 1:
+		wide_raycast_sensor.team_collision_mask = 16
+		wide_raycast_sensor.enemy_collision_mask = 8
+		narrow_raycast_sensor.team_collision_mask = 16
+		narrow_raycast_sensor.enemy_collision_mask = 8
+	
+
+func reset():
+	n_steps_without_positive_reward = 0
+	n_steps = 0
+
+func get_obs():
+	var obs = []
+	obs.append_array(wide_raycast_sensor.get_observation())
+	obs.append_array(narrow_raycast_sensor.get_observation())
+	return {
+		"obs":obs
+	}
+
+func get_reward():	
+	var  total_reward = reward + shaping_reward()
+	if total_reward <= 0.0:
+		n_steps_without_positive_reward += 1
+	else:
+		n_steps_without_positive_reward -= 1
+		n_steps_without_positive_reward = max(0, n_steps_without_positive_reward)
+	return total_reward
+
+
+func shaping_reward():
+	var s_reward = 0.0
+	return s_reward
+
+
+func get_action_space():
+	return {
+		"movement_action" : {
+			"size": 2,
+			"action_type": "continuous"
+		},  
+		"look_action" : {
+			"size": 2,
+			"action_type": "continuous"
+		},      
+		"jump_action" : {
+			"size": 2,
+			"action_type": "discrete"
+		},
+		"shoot_action" : {
+			"size": 2,
+			"action_type": "discrete"
+		},
+	}
+
+
+func set_action(action):	
+	movement_action = Vector2(clamp(action["movement_action"][0],-1.0,1.0), clamp(action["movement_action"][1],-1.0,1.0))
+	look_action =  Vector2(clamp(action["look_action"][0],-1.0,1.0), clamp(action["look_action"][1],-1.0,1.0))
+	jump_action = action["jump_action"] == 1
+	shoot_action = action["shoot_action"] == 1
+
+
+func _physics_process(_delta):
+	n_steps += 1
+	if n_steps > 4000:
+		_player.needs_respawn = true

ExtendedRaycastSensor.gd

@@ -0,0 +1,34 @@
+extends RayCastSensor3D
+
+var team = -1
+var team_collision_mask = 0
+var enemy_collision_mask = 0
+
+func calculate_raycasts() -> Array:
+	var result = []
+	for ray in rays:
+		ray.set_enabled(true)
+		ray.force_raycast_update()
+		var distance = _get_raycast_distance(ray)
+
+		result.append(distance)
+		if class_sensor:
+			
+			if team == -1:
+				var hit_class = 0 
+				if ray.get_collider():
+					var hit_collision_layer = ray.get_collider().collision_layer
+					hit_collision_layer = hit_collision_layer & collision_mask
+					hit_class = (hit_collision_layer & boolean_class_mask) > 0
+				result.append(hit_class)
+			else:
+				var hit_categories = [0,0]
+				var collider = ray.get_collider()
+				if collider:
+					var hit_collision_layer = collider.collision_layer
+					hit_categories[0] = (hit_collision_layer & team_collision_mask) > 0
+					hit_categories[1] = (hit_collision_layer & enemy_collision_mask) > 0
+					
+				result.append_array(hit_categories)
+		ray.set_enabled(false)
+	return result

FlyCam.gd

@@ -0,0 +1,37 @@
+extends CharacterBody3D
+
+@export var look_sensitivity: float = 0.005
+@export var max_speed : float = 5.0
+var is_controlled = false
+
+func _ready():
+	CameraManager.register_flycam(self)
+
+func set_control(value):
+	is_controlled = value
+	$Camera3D.current = value
+	
+	
+func _process(_delta):
+	var input_dir = Input.get_vector("move_left", "move_right", "move_forward", "move_backward")
+	var direction = (transform.basis * Vector3(input_dir.x, 0, input_dir.y)).normalized()
+	direction.y =  Input.get_axis("cam_down", "cam_up")
+	if direction:
+		velocity.x = direction.x * max_speed
+		velocity.y = direction.y * max_speed
+		velocity.z = direction.z * max_speed
+	else:
+		velocity.x = move_toward(velocity.x, 0, max_speed)
+		velocity.y = move_toward(velocity.y, 0, max_speed)
+		velocity.z = move_toward(velocity.z, 0, max_speed)
+	
+	
+	move_and_slide()
+	
+	
+func _unhandled_input(event):
+	if is_controlled and event is InputEventMouseMotion:
+		rotate_y(-event.relative.x * look_sensitivity)
+		$Camera3D.rotate_x(-event.relative.y * look_sensitivity)
+		$Camera3D.rotation.x = clamp($Camera3D.rotation.x, -PI/2, PI/2)
+

Objects.gd

@@ -0,0 +1,10 @@
+extends Node3D
+
+
+# Called when the node enters the scene tree for the first time.
+func _ready():
+	for child in get_children():
+		child = child as MeshInstance3D
+		if child:
+			child.create_trimesh_collision()
+	

OrbitCam.gd

@@ -0,0 +1,17 @@
+extends Node3D
+
+@export var max_speed : float = 1.0
+var is_controlled = false
+
+func _ready():
+	CameraManager.register_orbitcam(self)
+
+func set_control(value):
+	is_controlled = value
+	$Camera3D.current = value
+	
+	
+func _process(delta):
+	rotate_y(delta*max_speed)
+	
+	

PlayerHitBox.gd

@@ -0,0 +1,4 @@
+extends Area3D
+class_name PlayerHitBox
+
+var _player = null

README.md

@@ -0,0 +1,25 @@
+---
+library_name: godot-rl
+tags:
+- deep-reinforcement-learning
+- reinforcement-learning
+- godot-rl
+- environments
+- video-games
+---
+
+A RL environment called FPS for the Godot Game Engine.
+
+This environment was created with: https://github.com/edbeeching/godot_rl_agents 
+
+
+## Downloading the environment 
+
+After installing Godot RL Agents, download the environment with: 
+
+```
+gdrl.env_from_hub -r jtatman/godot_rl_FPS
+```
+
+
+

Run.gd

@@ -0,0 +1,22 @@
+extends PlayerState
+
+
+func unhandled_input(event):
+	_parent.unhandled_input(event)
+	
+func process(delta):
+	_parent.process(delta)
+	
+func physics_process(delta):
+	_parent.physics_process(delta)
+	if player.velocity.length() < 0.01 and player.is_on_floor():
+		_state_machine.transition_to("Move/Idle")
+	player.character.set_velocity(player.transform.basis.inverse() * player.velocity)
+	
+
+func enter(msg: ={}):
+	player.character.transition_to(player.character.States.RUN)
+	_parent.enter(msg)
+	
+func exit():
+	_parent.exit()

SpawnPoint.gd

@@ -0,0 +1,3 @@
+extends Marker3D
+
+@export var team = -1

addons/godot_rl_agents/controller/ai_controller_2d.gd

@@ -0,0 +1,82 @@
+extends Node2D
+class_name AIController2D
+
+@export var reset_after := 1000
+
+var heuristic := "human"
+var done := false
+var reward := 0.0
+var n_steps := 0
+var needs_reset := false
+
+var _player: Node2D
+
+func _ready():
+	add_to_group("AGENT")
+	
+func init(player: Node2D):
+	_player = player
+	
+#-- Methods that need implementing using the "extend script" option in Godot --#
+func get_obs() -> Dictionary:
+	assert(false, "the get_obs method is not implemented when extending from ai_controller") 
+	return {"obs":[]}
+
+func get_reward() -> float:	
+	assert(false, "the get_reward method is not implemented when extending from ai_controller") 
+	return 0.0
+	
+func get_action_space() -> Dictionary:
+	assert(false, "the get get_action_space method is not implemented when extending from ai_controller") 
+	return {
+		"example_actions_continous" : {
+			"size": 2,
+			"action_type": "continuous"
+		},
+		"example_actions_discrete" : {
+			"size": 2,
+			"action_type": "discrete"
+		},
+		}
+	
+func set_action(action) -> void:	
+	assert(false, "the get set_action method is not implemented when extending from ai_controller") 	
+# -----------------------------------------------------------------------------#
+	
+func _physics_process(delta):
+	n_steps += 1
+	if n_steps > reset_after:
+		needs_reset = true
+		
+func get_obs_space():
+	# may need overriding if the obs space is complex
+	var obs = get_obs()
+	return {
+		"obs": {
+			"size": [len(obs["obs"])],
+			"space": "box"
+		},
+	}
+
+func reset():
+	n_steps = 0
+	needs_reset = false
+
+func reset_if_done():
+	if done:
+		reset()
+		
+func set_heuristic(h):
+	# sets the heuristic from "human" or "model" nothing to change here
+	heuristic = h
+
+func get_done():
+	return done
+	
+func set_done_false():
+	done = false
+
+func zero_reward():
+	reward = 0.0
+	
+

addons/godot_rl_agents/controller/ai_controller_3d.gd

@@ -0,0 +1,80 @@
+extends Node3D
+class_name AIController3D
+
+@export var reset_after := 1000
+
+var heuristic := "human"
+var done := false
+var reward := 0.0
+var n_steps := 0
+var needs_reset := false
+
+var _player: Node3D
+
+func _ready():
+	add_to_group("AGENT")
+	
+func init(player: Node3D):
+	_player = player
+	
+#-- Methods that need implementing using the "extend script" option in Godot --#
+func get_obs() -> Dictionary:
+	assert(false, "the get_obs method is not implemented when extending from ai_controller") 
+	return {"obs":[]}
+
+func get_reward() -> float:	
+	assert(false, "the get_reward method is not implemented when extending from ai_controller") 
+	return 0.0
+	
+func get_action_space() -> Dictionary:
+	assert(false, "the get get_action_space method is not implemented when extending from ai_controller") 
+	return {
+		"example_actions_continous" : {
+			"size": 2,
+			"action_type": "continuous"
+		},
+		"example_actions_discrete" : {
+			"size": 2,
+			"action_type": "discrete"
+		},
+		}
+	
+func set_action(action) -> void:	
+	assert(false, "the get set_action method is not implemented when extending from ai_controller") 	
+# -----------------------------------------------------------------------------#
+	
+func _physics_process(delta):
+	n_steps += 1
+	if n_steps > reset_after:
+		needs_reset = true
+		
+func get_obs_space():
+	# may need overriding if the obs space is complex
+	var obs = get_obs()
+	return {
+		"obs": {
+			"size": [len(obs["obs"])],
+			"space": "box"
+		},
+	}
+
+func reset():
+	n_steps = 0
+	needs_reset = false
+
+func reset_if_done():
+	if done:
+		reset()
+		
+func set_heuristic(h):
+	# sets the heuristic from "human" or "model" nothing to change here
+	heuristic = h
+
+func get_done():
+	return done
+	
+func set_done_false():
+	done = false
+
+func zero_reward():
+	reward = 0.0

addons/godot_rl_agents/godot_rl_agents.gd

@@ -0,0 +1,16 @@
+@tool
+extends EditorPlugin
+
+
+func _enter_tree():
+	# Initialization of the plugin goes here.
+	# Add the new type with a name, a parent type, a script and an icon.
+	add_custom_type("Sync", "Node", preload("sync.gd"), preload("icon.png"))
+	#add_custom_type("RaycastSensor2D2", "Node", preload("raycast_sensor_2d.gd"), preload("icon.png"))
+
+
+func _exit_tree():
+	# Clean-up of the plugin goes here.
+	# Always remember to remove it from the engine when deactivated.
+	remove_custom_type("Sync")
+	#remove_custom_type("RaycastSensor2D2")

addons/godot_rl_agents/onnx/csharp/ONNXInference.cs

@@ -0,0 +1,103 @@
+using Godot;
+using Microsoft.ML.OnnxRuntime;
+using Microsoft.ML.OnnxRuntime.Tensors;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace GodotONNX
+{
+	/// <include file='docs/ONNXInference.xml' path='docs/members[@name="ONNXInference"]/ONNXInference/*'/>
+	public partial class ONNXInference : GodotObject
+	{
+
+		private InferenceSession session;
+		/// <summary>
+		/// Path to the ONNX model. Use Initialize to change it. 
+		/// </summary>
+		private string modelPath;
+		private int batchSize;
+
+		private SessionOptions SessionOpt;
+
+		//init function
+		/// <include file='docs/ONNXInference.xml' path='docs/members[@name="ONNXInference"]/Initialize/*'/>
+		public void Initialize(string Path, int BatchSize)
+		{
+			modelPath = Path;
+			batchSize = BatchSize;
+            SessionOpt = SessionConfigurator.MakeConfiguredSessionOptions();
+            session = LoadModel(modelPath);
+
+		}
+		/// <include file='docs/ONNXInference.xml' path='docs/members[@name="ONNXInference"]/Run/*'/>
+		public Godot.Collections.Dictionary<string, Godot.Collections.Array<float>> RunInference(Godot.Collections.Array<float> obs, int state_ins)
+		{
+			//Current model: Any (Godot Rl Agents)
+			//Expects a tensor of shape [batch_size, input_size] type float named obs and a tensor of shape [batch_size] type float named state_ins
+
+			//Fill the input tensors
+			// create span from inputSize
+			var span = new float[obs.Count]; //There's probably a better way to do this
+			for (int i = 0; i < obs.Count; i++)
+			{
+				span[i] = obs[i];
+			}
+
+			IReadOnlyCollection<NamedOnnxValue> inputs = new List<NamedOnnxValue>
+			{
+			NamedOnnxValue.CreateFromTensor("obs", new DenseTensor<float>(span, new int[] { batchSize, obs.Count })),
+			NamedOnnxValue.CreateFromTensor("state_ins", new DenseTensor<float>(new float[] { state_ins }, new int[] { batchSize }))
+			};
+			IReadOnlyCollection<string> outputNames = new List<string> { "output", "state_outs" }; //ONNX is sensible to these names, as well as the input names
+
+			IDisposableReadOnlyCollection<DisposableNamedOnnxValue> results; 
+			//We do not use "using" here so we get a better exception explaination later
+			try
+			{
+				results = session.Run(inputs, outputNames);
+			}
+			catch (OnnxRuntimeException e)
+			{
+				//This error usually means that the model is not compatible with the input, beacause of the input shape (size)
+				GD.Print("Error at inference: ", e);
+				return null;
+			}
+			//Can't convert IEnumerable<float> to Variant, so we have to convert it to an array or something
+			Godot.Collections.Dictionary<string, Godot.Collections.Array<float>> output = new Godot.Collections.Dictionary<string, Godot.Collections.Array<float>>();
+			DisposableNamedOnnxValue output1 = results.First();
+			DisposableNamedOnnxValue output2 = results.Last();
+			Godot.Collections.Array<float> output1Array = new Godot.Collections.Array<float>();
+			Godot.Collections.Array<float> output2Array = new Godot.Collections.Array<float>();
+
+			foreach (float f in output1.AsEnumerable<float>())
+			{
+				output1Array.Add(f);
+			}
+
+			foreach (float f in output2.AsEnumerable<float>())
+			{
+				output2Array.Add(f);
+			}
+
+			output.Add(output1.Name, output1Array);
+			output.Add(output2.Name, output2Array);
+
+			//Output is a dictionary of arrays, ex: { "output" : [0.1, 0.2, 0.3, 0.4, ...], "state_outs" : [0.5, ...]}
+			results.Dispose();
+			return output;
+		}
+		/// <include file='docs/ONNXInference.xml' path='docs/members[@name="ONNXInference"]/Load/*'/>
+		public InferenceSession LoadModel(string Path)
+		{
+			using Godot.FileAccess file = FileAccess.Open(Path, Godot.FileAccess.ModeFlags.Read);
+			byte[] model = file.GetBuffer((int)file.GetLength());
+			//file.Close(); file.Dispose(); //Close the file, then dispose the reference.
+			return new InferenceSession(model, SessionOpt); //Load the model
+		}
+		public void FreeDisposables()
+		{
+			session.Dispose();
+			SessionOpt.Dispose();
+		}
+	}
+}

addons/godot_rl_agents/onnx/csharp/SessionConfigurator.cs

@@ -0,0 +1,131 @@
+using Godot;
+using Microsoft.ML.OnnxRuntime;
+
+namespace GodotONNX
+{
+	/// <include file='docs/SessionConfigurator.xml' path='docs/members[@name="SessionConfigurator"]/SessionConfigurator/*'/>
+
+	public static class SessionConfigurator
+	{
+		public enum ComputeName
+		{
+			CUDA,
+			ROCm,
+			DirectML,
+			CoreML,
+			CPU
+		}
+
+        /// <include file='docs/SessionConfigurator.xml' path='docs/members[@name="SessionConfigurator"]/GetSessionOptions/*'/>
+        public static SessionOptions MakeConfiguredSessionOptions()
+        {
+            SessionOptions sessionOptions = new();
+            SetOptions(sessionOptions);
+            return sessionOptions;
+        }
+
+        private static void SetOptions(SessionOptions sessionOptions)
+        {
+            sessionOptions.LogSeverityLevel = OrtLoggingLevel.ORT_LOGGING_LEVEL_WARNING;
+            ApplySystemSpecificOptions(sessionOptions);
+        }
+
+        /// <include file='docs/SessionConfigurator.xml' path='docs/members[@name="SessionConfigurator"]/SystemCheck/*'/>
+        static public void ApplySystemSpecificOptions(SessionOptions sessionOptions)
+        {
+            //Most code for this function is verbose only, the only reason it exists is to track
+            //implementation progress of the different compute APIs.
+
+            //December 2022: CUDA is not working. 
+
+            string OSName = OS.GetName(); //Get OS Name
+
+            //ComputeName ComputeAPI = ComputeCheck(); //Get Compute API
+            //                                         //TODO: Get CPU architecture
+
+            //Linux can use OpenVINO (C#) on x64 and ROCm on x86 (GDNative/C++)
+            //Windows can use OpenVINO (C#) on x64
+            //TODO: try TensorRT instead of CUDA
+            //TODO: Use OpenVINO for Intel Graphics
+
+            // Temporarily using CPU on all platforms to avoid errors detected with DML
+            ComputeName ComputeAPI = ComputeName.CPU;
+
+            //match OS and Compute API
+            GD.Print($"OS: {OSName} Compute API: {ComputeAPI}");
+
+            // CPU is set by default without appending necessary
+            // sessionOptions.AppendExecutionProvider_CPU(0);
+
+            /*
+            switch (OSName)
+            {
+                case "Windows": //Can use CUDA, DirectML
+                    if (ComputeAPI is ComputeName.CUDA)
+                    {
+                        //CUDA 
+                        //sessionOptions.AppendExecutionProvider_CUDA(0);
+                        //sessionOptions.AppendExecutionProvider_DML(0);
+                    }
+                    else if (ComputeAPI is ComputeName.DirectML)
+                    {
+                        //DirectML
+                        //sessionOptions.AppendExecutionProvider_DML(0);
+                    }
+                    break;
+                case "X11": //Can use CUDA, ROCm
+                    if (ComputeAPI is ComputeName.CUDA)
+                    {
+                        //CUDA
+                        //sessionOptions.AppendExecutionProvider_CUDA(0);
+                    }
+                    if (ComputeAPI is ComputeName.ROCm)
+                    {
+                        //ROCm, only works on x86 
+                        //Research indicates that this has to be compiled as a GDNative plugin
+                        //GD.Print("ROCm not supported yet, using CPU.");
+                        //sessionOptions.AppendExecutionProvider_CPU(0);
+                    }
+                    break;
+                case "macOS": //Can use CoreML
+                    if (ComputeAPI is ComputeName.CoreML)
+                    { //CoreML
+                      //TODO: Needs testing
+                        //sessionOptions.AppendExecutionProvider_CoreML(0);
+                        //CoreML on ARM64, out of the box, on x64 needs .tar file from GitHub
+                    }
+                    break;
+                default:
+                    GD.Print("OS not Supported.");
+                    break;
+            }
+            */
+        }
+
+
+        /// <include file='docs/SessionConfigurator.xml' path='docs/members[@name="SessionConfigurator"]/ComputeCheck/*'/>
+        public static ComputeName ComputeCheck()
+		{
+			string adapterName = Godot.RenderingServer.GetVideoAdapterName();
+			//string adapterVendor = Godot.RenderingServer.GetVideoAdapterVendor();
+			adapterName = adapterName.ToUpper(new System.Globalization.CultureInfo(""));
+			//TODO: GPU vendors for MacOS, what do they even use these days?
+		  
+			if (adapterName.Contains("INTEL"))
+			{
+				return ComputeName.DirectML;
+			}
+			if (adapterName.Contains("AMD") || adapterName.Contains("RADEON"))
+			{
+				return ComputeName.DirectML;
+			}
+			if (adapterName.Contains("NVIDIA"))
+			{
+				return ComputeName.CUDA;
+			}
+
+			GD.Print("Graphics Card not recognized."); //Should use CPU
+			return ComputeName.CPU;
+		}
+	}
+}

addons/godot_rl_agents/onnx/csharp/docs/ONNXInference.xml

@@ -0,0 +1,31 @@
+<docs>
+	<members name="ONNXInference">
+		<ONNXInference>
+			<summary>
+       		The main <c>ONNXInference</c> Class that handles the inference process.
+        	</summary>
+		</ONNXInference>
+   		<Initialize>
+        	<summary>
+			Starts the inference process. 
+			</summary>
+			<param name="Path">Path to the ONNX model, expects a path inside resources.</param>
+			<param name="BatchSize">How many observations will the model recieve.</param>
+		</Initialize>
+		<Run>
+			<summary>
+			Runs the given input through the model and returns the output.
+			</summary>
+			<param name="obs">Dictionary containing all observations.</param>
+			<param name="state_ins">How many different agents are creating these observations.</param>
+			<returns>A Dictionary of arrays, containing instructions based on the observations.</returns>
+		</Run>
+		<Load>
+			<summary>
+			Loads the given model into the inference process, using the best Execution provider available.
+			</summary>
+			<param name="Path">Path to the ONNX model, expects a path inside resources.</param>
+			<returns>InferenceSession ready to run.</returns>
+		</Load>
+	</members>
+</docs>

addons/godot_rl_agents/onnx/csharp/docs/SessionConfigurator.xml

@@ -0,0 +1,29 @@
+<docs>
+	<members name="SessionConfigurator">
+		<SessionConfigurator>
+			<summary>
+       		The main <c>SessionConfigurator</c> Class that handles the execution options and providers for the inference process.
+        	</summary>
+		</SessionConfigurator>
+  		<GetSessionOptions>
+    	    <summary>
+    	    Creates a SessionOptions with all available execution providers.
+    	    </summary>
+			<returns>SessionOptions with all available execution providers.</returns>
+    	</GetSessionOptions>
+    	<SystemCheck>
+        	<summary>
+        	Appends any execution provider available in the current system.  
+        	</summary>
+			<remarks>
+				This function is mainly verbose for tracking implementation progress of different compute APIs. 
+			</remarks>
+    	</SystemCheck>
+    	<ComputeCheck>
+        	<summary>
+        		Checks for available GPUs.
+        	</summary>
+			<returns>An integer identifier for each compute platform.</returns>
+    	</ComputeCheck>
+	</members>
+</docs>

addons/godot_rl_agents/onnx/wrapper/ONNX_wrapper.gd

@@ -0,0 +1,24 @@
+extends Resource
+class_name ONNXModel
+var inferencer_script = load("res://addons/godot_rl_agents/onnx/csharp/ONNXInference.cs")
+
+var inferencer = null
+
+# Must provide the path to the model and the batch size
+func _init(model_path, batch_size):
+	inferencer = inferencer_script.new()
+	inferencer.Initialize(model_path, batch_size)
+
+# This function is the one that will be called from the game, 
+# requires the observation as an array and the state_ins as an int
+# returns an Array containing the action the model takes. 
+func run_inference(obs : Array, state_ins : int) -> Dictionary:
+	if inferencer == null:
+		printerr("Inferencer not initialized")
+		return {}
+	return inferencer.RunInference(obs, state_ins)
+
+func _notification(what):
+	if what == NOTIFICATION_PREDELETE:
+		inferencer.FreeDisposables()
+		inferencer.free()

addons/godot_rl_agents/plugin.cfg

@@ -0,0 +1,7 @@
+[plugin]
+
+name="GodotRLAgents"
+description="Custom nodes for the godot rl agents toolkit	"
+author="Edward Beeching"
+version="0.1"
+script="godot_rl_agents.gd"

addons/godot_rl_agents/sensors/sensors_2d/ExampleRaycastSensor2D.tscn

@@ -0,0 +1,48 @@
+[gd_scene load_steps=5 format=3 uid="uid://ddeq7mn1ealyc"]
+
+[ext_resource type="Script" path="res://addons/godot_rl_agents/sensors/sensors_2d/RaycastSensor2D.gd" id="1"]
+
+[sub_resource type="GDScript" id="2"]
+script/source = "extends Node2D
+
+
+
+func _physics_process(delta: float) -> void:
+    print(\"step start\")
+    
+"
+
+[sub_resource type="GDScript" id="1"]
+script/source = "extends RayCast2D
+
+var steps = 1
+
+func _physics_process(delta: float) -> void:
+    print(\"processing raycast\")
+    steps += 1
+    if steps % 2:
+        force_raycast_update()
+
+    print(is_colliding())
+"
+
+[sub_resource type="CircleShape2D" id="3"]
+
+[node name="ExampleRaycastSensor2D" type="Node2D"]
+script = SubResource("2")
+
+[node name="ExampleAgent" type="Node2D" parent="."]
+position = Vector2(573, 314)
+rotation = 0.286234
+
+[node name="RaycastSensor2D" type="Node2D" parent="ExampleAgent"]
+script = ExtResource("1")
+
+[node name="TestRayCast2D" type="RayCast2D" parent="."]
+script = SubResource("1")
+
+[node name="StaticBody2D" type="StaticBody2D" parent="."]
+position = Vector2(1, 52)
+
+[node name="CollisionShape2D" type="CollisionShape2D" parent="StaticBody2D"]
+shape = SubResource("3")

addons/godot_rl_agents/sensors/sensors_2d/ISensor2D.gd

@@ -0,0 +1,20 @@
+extends Node2D
+class_name ISensor2D
+
+var _obs : Array = []
+var _active := false
+
+func get_observation():
+	pass
+	
+func activate():
+	_active = true
+	
+func deactivate():
+	_active = false
+
+func _update_observation():
+	pass
+	
+func reset():
+	pass

addons/godot_rl_agents/sensors/sensors_2d/RaycastSensor2D.gd

@@ -0,0 +1,118 @@
+@tool
+extends ISensor2D
+class_name RaycastSensor2D
+
+@export_flags_2d_physics var collision_mask := 1:
+	get: return collision_mask
+	set(value):
+		collision_mask = value
+		_update()
+
+@export var collide_with_areas := false:
+	get: return collide_with_areas
+	set(value):
+		collide_with_areas = value
+		_update()
+
+@export var collide_with_bodies := true:
+	get: return collide_with_bodies
+	set(value):
+		collide_with_bodies = value
+		_update()
+
+@export var n_rays := 16.0:
+	get: return n_rays
+	set(value):
+		n_rays = value
+		_update()
+	
+@export_range(5,200,5.0) var ray_length := 200:
+	get: return ray_length
+	set(value):
+		ray_length = value
+		_update()
+@export_range(5,360,5.0) var cone_width := 360.0:
+	get: return cone_width
+	set(value):
+		cone_width = value
+		_update()
+	
+@export var debug_draw := true :
+	get: return debug_draw 
+	set(value):
+		debug_draw = value
+		_update()  
+
+
+var _angles = []
+var rays := []
+
+func _update():
+	if Engine.is_editor_hint():
+		if debug_draw:
+			_spawn_nodes()
+		else:
+			for ray in get_children():
+				if ray is RayCast2D:
+					remove_child(ray)
+
+func _ready() -> void:
+	_spawn_nodes()
+
+func _spawn_nodes():
+	for ray in rays:
+		ray.queue_free()
+	rays = []
+		
+	_angles = []
+	var step = cone_width / (n_rays)
+	var start = step/2 - cone_width/2
+	
+	for i in n_rays:
+		var angle = start + i * step
+		var ray = RayCast2D.new()
+		ray.set_target_position(Vector2(
+			ray_length*cos(deg_to_rad(angle)),
+			ray_length*sin(deg_to_rad(angle))
+		))
+		ray.set_name("node_"+str(i))
+		ray.enabled  = true
+		ray.collide_with_areas = collide_with_areas
+		ray.collide_with_bodies = collide_with_bodies
+		ray.collision_mask = collision_mask
+		add_child(ray)
+		rays.append(ray)
+		
+		
+		_angles.append(start + i * step)
+	
+
+func _physics_process(delta: float) -> void:
+	if self._active:
+		self._obs = calculate_raycasts()
+		
+func get_observation() -> Array:
+	if len(self._obs) == 0:
+		print("obs was null, forcing raycast update")
+		return self.calculate_raycasts()
+	return self._obs
+	
+
+func calculate_raycasts() -> Array:
+	var result = []
+	for ray in rays:
+		ray.force_raycast_update()
+		var distance = _get_raycast_distance(ray)
+		result.append(distance)
+	return result
+
+func _get_raycast_distance(ray : RayCast2D) -> float : 
+	if !ray.is_colliding():
+		return 0.0
+		
+	var distance = (global_position - ray.get_collision_point()).length()
+	distance = clamp(distance, 0.0, ray_length)
+	return (ray_length - distance) / ray_length
+	
+	
+	

addons/godot_rl_agents/sensors/sensors_2d/RaycastSensor2D.tscn

@@ -0,0 +1,7 @@
+[gd_scene load_steps=2 format=3 uid="uid://drvfihk5esgmv"]
+
+[ext_resource type="Script" path="res://addons/godot_rl_agents/sensors/sensors_2d/RaycastSensor2D.gd" id="1"]
+
+[node name="RaycastSensor2D" type="Node2D"]
+script = ExtResource("1")
+n_rays = 17.0

addons/godot_rl_agents/sensors/sensors_3d/ExampleRaycastSensor3D.tscn

@@ -0,0 +1,6 @@
+[gd_scene format=3 uid="uid://biu787qh4woik"]
+
+[node name="ExampleRaycastSensor3D" type="Node3D"]
+
+[node name="Camera3D" type="Camera3D" parent="."]
+transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.804183, 0, 2.70146)

addons/godot_rl_agents/sensors/sensors_3d/ISensor3D.gd

@@ -0,0 +1,20 @@
+extends Node3D
+class_name ISensor3D
+
+var _obs : Array = []
+var _active := false
+
+func get_observation():
+	pass
+	
+func activate():
+	_active = true
+	
+func deactivate():
+	_active = false
+
+func _update_observation():
+	pass
+	
+func reset():
+	pass

addons/godot_rl_agents/sensors/sensors_3d/RGBCameraSensor3D.gd

@@ -0,0 +1,11 @@
+extends Node3D
+class_name RGBCameraSensor3D
+var camera_pixels = null
+
+@onready var camera_texture := $Control/TextureRect/CameraTexture as Sprite2D
+
+func get_camera_pixel_encoding():
+	return camera_texture.get_texture().get_data().data["data"].hex_encode()
+
+func get_camera_shape()-> Array:
+	return [$SubViewport.size[0], $SubViewport.size[1], 4]

addons/godot_rl_agents/sensors/sensors_3d/RGBCameraSensor3D.tscn

@@ -0,0 +1,42 @@
+[gd_scene load_steps=3 format=2]
+
+[ext_resource path="res://addons/godot_rl_agents/sensors/sensors_3d/RGBCameraSensor3D.gd" type="Script" id=1]
+
+[sub_resource type="ViewportTexture" id=1]
+viewport_path = NodePath("SubViewport")
+
+[node name="RGBCameraSensor3D" type="Node3D"]
+script = ExtResource( 1 )
+
+[node name="RemoteTransform3D" type="RemoteTransform3D" parent="."]
+remote_path = NodePath("../SubViewport/Camera3D")
+
+[node name="SubViewport" type="SubViewport" parent="."]
+size = Vector2( 32, 32 )
+render_target_update_mode = 3
+
+[node name="Camera3D" type="Camera3D" parent="SubViewport"]
+near = 0.5
+
+[node name="Control" type="Control" parent="."]
+anchor_right = 1.0
+anchor_bottom = 1.0
+__meta__ = {
+"_edit_use_anchors_": false
+}
+
+[node name="TextureRect" type="ColorRect" parent="Control"]
+offset_left = 1096.0
+offset_top = 534.0
+offset_right = 1114.0
+offset_bottom = 552.0
+scale = Vector2( 10, 10 )
+color = Color( 0.00784314, 0.00784314, 0.00784314, 1 )
+__meta__ = {
+"_edit_use_anchors_": false
+}
+
+[node name="CameraTexture" type="Sprite2D" parent="Control/TextureRect"]
+texture = SubResource( 1 )
+offset = Vector2( 9, 9 )
+flip_v = true

addons/godot_rl_agents/sensors/sensors_3d/RaycastSensor3D.gd

@@ -0,0 +1,166 @@
+@tool
+extends ISensor3D
+class_name RayCastSensor3D
+@export_flags_3d_physics var collision_mask = 1:
+	get: return collision_mask
+	set(value):
+		collision_mask = value
+		_update()
+@export_flags_3d_physics var boolean_class_mask = 1:
+	get: return boolean_class_mask
+	set(value):
+		boolean_class_mask = value
+		_update()
+
+@export var n_rays_width := 6.0:
+	get: return n_rays_width
+	set(value):
+		n_rays_width = value
+		_update()
+	
+@export var n_rays_height := 6.0:
+	get: return n_rays_height
+	set(value):
+		n_rays_height = value
+		_update()
+
+@export var ray_length := 10.0:
+	get: return ray_length
+	set(value):
+		ray_length = value
+		_update()
+		
+@export var cone_width := 60.0:
+	get: return cone_width
+	set(value):
+		cone_width = value
+		_update()
+		
+@export var cone_height := 60.0:
+	get: return cone_height
+	set(value):
+		cone_height = value
+		_update()
+
+@export var collide_with_areas := false:
+	get: return collide_with_areas
+	set(value):
+		collide_with_areas = value
+		_update()
+		
+@export var collide_with_bodies := true:
+	get: return collide_with_bodies
+	set(value):
+		collide_with_bodies = value
+		_update()
+
+@export var class_sensor := false
+		
+var rays := []
+var geo = null
+
+func _update():
+	if Engine.is_editor_hint():
+		if is_node_ready():
+			_spawn_nodes()	
+
+func _ready() -> void:
+	if Engine.is_editor_hint():	
+		if get_child_count() == 0:
+			_spawn_nodes()
+	else:
+		_spawn_nodes()
+
+func _spawn_nodes():
+	print("spawning nodes")
+	for ray in get_children():
+		ray.queue_free()
+	if geo:
+		geo.clear()
+	#$Lines.remove_points()
+	rays = []
+	
+	var horizontal_step = cone_width / (n_rays_width)
+	var vertical_step = cone_height / (n_rays_height)
+	
+	var horizontal_start = horizontal_step/2 - cone_width/2
+	var vertical_start = vertical_step/2 - cone_height/2   
+
+	var points = []
+	
+	for i in n_rays_width:
+		for j in n_rays_height:
+			var angle_w = horizontal_start + i * horizontal_step
+			var angle_h = vertical_start + j * vertical_step
+			#angle_h = 0.0
+			var ray = RayCast3D.new()
+			var cast_to = to_spherical_coords(ray_length, angle_w, angle_h)
+			ray.set_target_position(cast_to)
+
+			points.append(cast_to)
+			
+			ray.set_name("node_"+str(i)+" "+str(j))
+			ray.enabled  = true
+			ray.collide_with_bodies = collide_with_bodies
+			ray.collide_with_areas = collide_with_areas
+			ray.collision_mask = collision_mask
+			add_child(ray)
+			ray.set_owner(get_tree().edited_scene_root)
+			rays.append(ray)
+			ray.force_raycast_update()
+			
+#    if Engine.editor_hint:
+#        _create_debug_lines(points)
+		
+func _create_debug_lines(points):
+	if not geo: 
+		geo = ImmediateMesh.new()
+		add_child(geo)
+		
+	geo.clear()
+	geo.begin(Mesh.PRIMITIVE_LINES)
+	for point in points:
+		geo.set_color(Color.AQUA)
+		geo.add_vertex(Vector3.ZERO)
+		geo.add_vertex(point)
+	geo.end()
+
+func display():
+	if geo:
+		geo.display()
+	
+func to_spherical_coords(r, inc, azimuth) -> Vector3:
+	return Vector3(
+		r*sin(deg_to_rad(inc))*cos(deg_to_rad(azimuth)),
+		r*sin(deg_to_rad(azimuth)),
+		r*cos(deg_to_rad(inc))*cos(deg_to_rad(azimuth))       
+	)
+	
+func get_observation() -> Array:
+	return self.calculate_raycasts()
+
+func calculate_raycasts() -> Array:
+	var result = []
+	for ray in rays:
+		ray.set_enabled(true)
+		ray.force_raycast_update()
+		var distance = _get_raycast_distance(ray)
+
+		result.append(distance)
+		if class_sensor:
+			var hit_class = 0 
+			if ray.get_collider():
+				var hit_collision_layer = ray.get_collider().collision_layer
+				hit_collision_layer = hit_collision_layer & collision_mask
+				hit_class = (hit_collision_layer & boolean_class_mask) > 0
+			result.append(hit_class)
+		ray.set_enabled(false)
+	return result
+
+func _get_raycast_distance(ray : RayCast3D) -> float : 
+	if !ray.is_colliding():
+		return 0.0
+		
+	var distance = (global_transform.origin - ray.get_collision_point()).length()
+	distance = clamp(distance, 0.0, ray_length)
+	return (ray_length - distance) / ray_length

addons/godot_rl_agents/sensors/sensors_3d/RaycastSensor3D.tscn

@@ -0,0 +1,33 @@
+[gd_scene load_steps=2 format=3 uid="uid://b803cbh1fmy66"]
+
+[ext_resource type="Script" path="res://addons/godot_rl_agents/sensors/sensors_3d/RaycastSensor3D.gd" id="1"]
+
+[node name="RaycastSensor3D" type="Node3D"]
+script = ExtResource("1")
+n_rays_width = 4.0
+n_rays_height = 2.0
+ray_length = 11.0
+
+[node name="@node_0 0@18991" type="RayCast3D" parent="."]
+target_position = Vector3(-4.06608, -2.84701, 9.81639)
+
+[node name="node_0 1" type="RayCast3D" parent="."]
+target_position = Vector3(-4.06608, 2.84701, 9.81639)
+
+[node name="@node_1 0@18992" type="RayCast3D" parent="."]
+target_position = Vector3(-1.38686, -2.84701, 10.5343)
+
+[node name="@node_1 1@18993" type="RayCast3D" parent="."]
+target_position = Vector3(-1.38686, 2.84701, 10.5343)
+
+[node name="@node_2 0@18994" type="RayCast3D" parent="."]
+target_position = Vector3(1.38686, -2.84701, 10.5343)
+
+[node name="@node_2 1@18995" type="RayCast3D" parent="."]
+target_position = Vector3(1.38686, 2.84701, 10.5343)
+
+[node name="@node_3 0@18996" type="RayCast3D" parent="."]
+target_position = Vector3(4.06608, -2.84701, 9.81639)
+
+[node name="@node_3 1@18997" type="RayCast3D" parent="."]
+target_position = Vector3(4.06608, 2.84701, 9.81639)

addons/godot_rl_agents/sync.gd

@@ -0,0 +1,338 @@
+extends Node
+# --fixed-fps 2000 --disable-render-loop
+@export_range(1, 10, 1, "or_greater") var action_repeat := 8
+@export_range(1, 10, 1, "or_greater") var speed_up = 1
+@export var onnx_model_path := ""
+
+@onready var start_time = Time.get_ticks_msec()
+
+const MAJOR_VERSION := "0"
+const MINOR_VERSION := "3" 
+const DEFAULT_PORT := "11008"
+const DEFAULT_SEED := "1"
+var stream : StreamPeerTCP = null
+var connected = false
+var message_center
+var should_connect = true
+var agents
+var need_to_send_obs = false
+var args = null
+var initialized = false
+var just_reset = false
+var onnx_model = null
+var n_action_steps = 0
+
+var _action_space : Dictionary
+var _obs_space : Dictionary
+
+# Called when the node enters the scene tree for the first time.
+
+func _ready():
+	await get_tree().root.ready
+	get_tree().set_pause(true) 
+	_initialize()
+	await get_tree().create_timer(1.0).timeout
+	get_tree().set_pause(false) 
+	
+func _initialize():
+	_get_agents()
+	_obs_space = agents[0].get_obs_space()
+	_action_space = agents[0].get_action_space()
+	args = _get_args()
+	Engine.physics_ticks_per_second = _get_speedup() * 60 # Replace with function body.
+	Engine.time_scale = _get_speedup() * 1.0
+	prints("physics ticks", Engine.physics_ticks_per_second, Engine.time_scale, _get_speedup(), speed_up)
+	
+	# Run inference if onnx model path is set, otherwise wait for server connection
+	var run_onnx_model_inference : bool = onnx_model_path != ""
+	if run_onnx_model_inference:
+		assert(FileAccess.file_exists(onnx_model_path), "Onnx Model Path set on Sync node does not exist: " + onnx_model_path)
+		onnx_model = ONNXModel.new(onnx_model_path, 1)
+		_set_heuristic("model")
+	else:		
+		connected = connect_to_server()
+		if connected:
+			_set_heuristic("model")
+			_handshake()
+			_send_env_info()
+		else:
+			_set_heuristic("human")  
+		
+	_set_seed()
+	_set_action_repeat()
+	initialized = true  
+
+func _physics_process(delta): 
+	# two modes, human control, agent control
+	# pause tree, send obs, get actions, set actions, unpause tree
+	if n_action_steps % action_repeat != 0:
+		n_action_steps += 1
+		return
+
+	n_action_steps += 1
+	
+	if connected:
+		get_tree().set_pause(true) 
+		
+		if just_reset:
+			just_reset = false
+			var obs = _get_obs_from_agents()
+		
+			var reply = {
+				"type": "reset",
+				"obs": obs
+			}
+			_send_dict_as_json_message(reply)
+			# this should go straight to getting the action and setting it checked the agent, no need to perform one phyics tick
+			get_tree().set_pause(false) 
+			return
+		
+		if need_to_send_obs:
+			need_to_send_obs = false
+			var reward = _get_reward_from_agents()
+			var done = _get_done_from_agents()
+			#_reset_agents_if_done() # this ensures the new observation is from the next env instance : NEEDS REFACTOR
+			
+			var obs = _get_obs_from_agents()
+			
+			var reply = {
+				"type": "step",
+				"obs": obs,
+				"reward": reward,
+				"done": done
+			}
+			_send_dict_as_json_message(reply)
+		
+		var handled = handle_message()
+	
+	elif onnx_model != null:
+		var obs : Array = _get_obs_from_agents()
+	
+		var actions = []
+		for o in obs:
+			var action = onnx_model.run_inference(o["obs"], 1.0)
+			action["output"] = clamp_array(action["output"], -1.0, 1.0)
+			var action_dict = _extract_action_dict(action["output"])
+			actions.append(action_dict)
+		
+		_set_agent_actions(actions) 
+		need_to_send_obs = true
+		get_tree().set_pause(false) 
+		_reset_agents_if_done()	
+		
+	else:
+		_reset_agents_if_done()	
+
+func _extract_action_dict(action_array: Array):
+	var index = 0
+	var result = {}
+	for key in _action_space.keys():
+		var size = _action_space[key]["size"]
+		if _action_space[key]["action_type"] == "discrete":
+			result[key] = round(action_array[index])
+		else:
+			result[key] = action_array.slice(index,index+size)
+		index += size
+		
+	return result
+
+func _get_agents():
+	agents = get_tree().get_nodes_in_group("AGENT")
+
+func _set_heuristic(heuristic):
+	for agent in agents:
+		agent.set_heuristic(heuristic)
+
+func _handshake():
+	print("performing handshake")
+	
+	var json_dict = _get_dict_json_message()
+	assert(json_dict["type"] == "handshake")
+	var major_version = json_dict["major_version"]
+	var minor_version = json_dict["minor_version"]
+	if major_version != MAJOR_VERSION:
+		print("WARNING: major verison mismatch ", major_version, " ", MAJOR_VERSION)  
+	if minor_version != MINOR_VERSION:
+		print("WARNING: minor verison mismatch ", minor_version, " ", MINOR_VERSION)
+		
+	print("handshake complete")
+
+func _get_dict_json_message():
+	# returns a dictionary from of the most recent message
+	# this is not waiting
+	while stream.get_available_bytes() == 0:
+		stream.poll()
+		if stream.get_status() != 2:
+			print("server disconnected status, closing")
+			get_tree().quit()
+			return null
+
+		OS.delay_usec(10)
+		
+	var message = stream.get_string()
+	var json_data = JSON.parse_string(message)
+	
+	return json_data
+
+func _send_dict_as_json_message(dict):
+	stream.put_string(JSON.stringify(dict))
+
+func _send_env_info():
+	var json_dict = _get_dict_json_message()
+	assert(json_dict["type"] == "env_info")
+
+		
+	var message = {
+		"type" : "env_info",
+		"observation_space": _obs_space,
+		"action_space":_action_space,
+		"n_agents": len(agents)
+		}
+	_send_dict_as_json_message(message)
+
+func connect_to_server():
+	print("Waiting for one second to allow server to start")
+	OS.delay_msec(1000)
+	print("trying to connect to server")
+	stream = StreamPeerTCP.new()
+	
+	# "localhost" was not working on windows VM, had to use the IP
+	var ip = "127.0.0.1"
+	var port = _get_port()
+	var connect = stream.connect_to_host(ip, port)
+	stream.set_no_delay(true) # TODO check if this improves performance or not
+	stream.poll()
+	# Fetch the status until it is either connected (2) or failed to connect (3)
+	while stream.get_status() < 2:
+		stream.poll()
+	return stream.get_status() == 2
+
+func _get_args():
+	print("getting command line arguments")
+	var arguments = {}
+	for argument in OS.get_cmdline_args():
+		print(argument)
+		if argument.find("=") > -1:
+			var key_value = argument.split("=")
+			arguments[key_value[0].lstrip("--")] = key_value[1]
+		else:
+			# Options without an argument will be present in the dictionary,
+			# with the value set to an empty string.
+			arguments[argument.lstrip("--")] = ""
+
+	return arguments   
+
+func _get_speedup():
+	print(args)
+	return args.get("speedup", str(speed_up)).to_int()
+
+func _get_port():    
+	return args.get("port", DEFAULT_PORT).to_int()
+
+func _set_seed():
+	var _seed = args.get("env_seed", DEFAULT_SEED).to_int()
+	seed(_seed)
+
+func _set_action_repeat():
+	action_repeat = args.get("action_repeat", str(action_repeat)).to_int()
+	
+func disconnect_from_server():
+	stream.disconnect_from_host()
+
+
+
+func handle_message() -> bool:
+	# get json message: reset, step, close
+	var message = _get_dict_json_message()
+	if message["type"] == "close":
+		print("received close message, closing game")
+		get_tree().quit()
+		get_tree().set_pause(false) 
+		return true
+		
+	if message["type"] == "reset":
+		print("resetting all agents")
+		_reset_all_agents()
+		just_reset = true
+		get_tree().set_pause(false) 
+		#print("resetting forcing draw")
+#        RenderingServer.force_draw()
+#        var obs = _get_obs_from_agents()
+#        print("obs ", obs)
+#        var reply = {
+#            "type": "reset",
+#            "obs": obs
+#        }
+#        _send_dict_as_json_message(reply)   
+		return true
+		
+	if message["type"] == "call":
+		var method = message["method"]
+		var returns = _call_method_on_agents(method)
+		var reply = {
+			"type": "call",
+			"returns": returns
+		}
+		print("calling method from Python")
+		_send_dict_as_json_message(reply)   
+		return handle_message()
+	
+	if message["type"] == "action":
+		var action = message["action"]
+		_set_agent_actions(action) 
+		need_to_send_obs = true
+		get_tree().set_pause(false) 
+		return true
+		
+	print("message was not handled")
+	return false
+
+func _call_method_on_agents(method):
+	var returns = []
+	for agent in agents:
+		returns.append(agent.call(method))
+		
+	return returns
+
+
+func _reset_agents_if_done():
+	for agent in agents:
+		if agent.get_done(): 
+			agent.set_done_false()
+
+func _reset_all_agents():
+	for agent in agents:
+		agent.needs_reset = true
+		#agent.reset()   
+
+func _get_obs_from_agents():
+	var obs = []
+	for agent in agents:
+		obs.append(agent.get_obs())
+
+	return obs
+	
+func _get_reward_from_agents():
+	var rewards = [] 
+	for agent in agents:
+		rewards.append(agent.get_reward())
+		agent.zero_reward()
+	return rewards    
+	
+func _get_done_from_agents():
+	var dones = [] 
+	for agent in agents:
+		var done = agent.get_done()
+		if done: agent.set_done_false()
+		dones.append(done)
+	return dones    
+	
+func _set_agent_actions(actions):
+	for i in range(len(actions)):
+		agents[i].set_action(actions[i])
+	
+func clamp_array(arr : Array, min:float, max:float):
+	var output : Array = []
+	for a in arr:
+		output.append(clamp(a, min, max))
+	return output