ppo-MountainCar-v0 / config.json
meln1k's picture
first commit
965b5f1
raw
history blame
12.7 kB
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f73ec103790>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f73ec103820>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f73ec1038b0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f73ec103940>", "_build": "<function ActorCriticPolicy._build at 0x7f73ec1039d0>", "forward": "<function ActorCriticPolicy.forward at 0x7f73ec103a60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f73ec103af0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f73ec103b80>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f73ec103c10>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f73ec103ca0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f73ec103d30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f73ec200180>"}, "verbose": 1, "policy_kwargs": {"log_std_init": -2, "ortho_init": false}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVYwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLAoWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAACamZm/KVyPvZRoCksChZSMAUOUdJRSlIwEaGlnaJRoEiiWCAAAAAAAAACamRk/KVyPPZRoCksChZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolgIAAAAAAAAAAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLAoWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYCAAAAAAAAAAEBlGghSwKFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "dtype": "float32", "_shape": [2], "low": "[-1.2 -0.07]", "high": "[0.6 0.07]", "bounded_below": "[ True True]", "bounded_above": "[ True True]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLA4wGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 3, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1653663873.160025, "learning_rate": 0.0003, "tensorboard_log": "runs/2gcltjpv", "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAOuU0L8x/ZO/pkjDv1OH1T4HcG6+WiH/PyTRCr+iQ8A/9MQkQIWtmD/0z3a8blqoP8iIy75xVJW/nMvDPzd/cT/PoO++ddCaP82b4D9eRgo/bEu1PpVKHD0gSxk/VUnivn7dnb964HS/YMmRPphdMj5o+CFA3qPdPl3Gwb8ByXA+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAADpXE78AAAAAAUTxvgAAAAACEf++AAAAAPmHB78AAAAAZ2QIvwAAAAAAghe/AAAAALjP5b4AAAAALfQBvwAAAACbEg+/AAAAAD8lBr8AAAAAzm/fvgAAAACA9Pi+AAAAAFbS4r4AAAAAjfz1vgAAAADepty+AAAAAG536b4AAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg=="}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 124, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.98, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.11.0-38-generic-x86_64-with-glibc2.31 #42~20.04.1-Ubuntu SMP Tue Sep 28 20:41:07 UTC 2021", "Python": "3.9.12", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu102", "GPU Enabled": "True", "Numpy": "1.22.3", "Gym": "0.21.0"}}