Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +19 -17
- a2c-PandaReachDense-v2/policy.optimizer.pth +2 -2
- a2c-PandaReachDense-v2/policy.pth +2 -2
- config.json +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
- vec_normalize.pkl +1 -1
README.md
CHANGED
|
@@ -16,7 +16,7 @@ model-index:
|
|
| 16 |
type: PandaReachDense-v2
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
-
value: -
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
|
|
|
| 16 |
type: PandaReachDense-v2
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
+
value: -0.78 +/- 0.27
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
a2c-PandaReachDense-v2.zip
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e497c3397fdcb717359baef6f8c84b4c5b38544e6e296cd7e47259cdfd1dd4b
|
| 3 |
+
size 109578
|
a2c-PandaReachDense-v2/data
CHANGED
|
@@ -11,7 +11,9 @@
|
|
| 11 |
"verbose": 1,
|
| 12 |
"policy_kwargs": {
|
| 13 |
":type:": "<class 'dict'>",
|
| 14 |
-
":serialized:": "
|
|
|
|
|
|
|
| 15 |
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
|
| 16 |
"optimizer_kwargs": {
|
| 17 |
"alpha": 0.99,
|
|
@@ -46,19 +48,19 @@
|
|
| 46 |
"_num_timesteps_at_start": 0,
|
| 47 |
"seed": null,
|
| 48 |
"action_noise": null,
|
| 49 |
-
"start_time":
|
| 50 |
-
"learning_rate": 0.
|
| 51 |
"tensorboard_log": null,
|
| 52 |
"lr_schedule": {
|
| 53 |
":type:": "<class 'function'>",
|
| 54 |
-
":serialized:": "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
|
| 55 |
},
|
| 56 |
"_last_obs": {
|
| 57 |
":type:": "<class 'collections.OrderedDict'>",
|
| 58 |
-
":serialized:": "
|
| 59 |
-
"achieved_goal": "[[0.
|
| 60 |
-
"desired_goal": "[[
|
| 61 |
-
"observation": "[[
|
| 62 |
},
|
| 63 |
"_last_episode_starts": {
|
| 64 |
":type:": "<class 'numpy.ndarray'>",
|
|
@@ -66,29 +68,29 @@
|
|
| 66 |
},
|
| 67 |
"_last_original_obs": {
|
| 68 |
":type:": "<class 'collections.OrderedDict'>",
|
| 69 |
-
":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
| 70 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
| 71 |
-
"desired_goal": "[[
|
| 72 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
| 73 |
},
|
| 74 |
"_episode_num": 0,
|
| 75 |
-
"use_sde":
|
| 76 |
"sde_sample_freq": -1,
|
| 77 |
"_current_progress_remaining": 0.0,
|
| 78 |
"ep_info_buffer": {
|
| 79 |
":type:": "<class 'collections.deque'>",
|
| 80 |
-
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
| 81 |
},
|
| 82 |
"ep_success_buffer": {
|
| 83 |
":type:": "<class 'collections.deque'>",
|
| 84 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 85 |
},
|
| 86 |
-
"_n_updates":
|
| 87 |
-
"n_steps":
|
| 88 |
-
"gamma": 0.
|
| 89 |
-
"gae_lambda":
|
| 90 |
"ent_coef": 0.0,
|
| 91 |
-
"vf_coef": 0.
|
| 92 |
"max_grad_norm": 0.5,
|
| 93 |
"normalize_advantage": false
|
| 94 |
}
|
|
|
|
| 11 |
"verbose": 1,
|
| 12 |
"policy_kwargs": {
|
| 13 |
":type:": "<class 'dict'>",
|
| 14 |
+
":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu",
|
| 15 |
+
"log_std_init": -2,
|
| 16 |
+
"ortho_init": false,
|
| 17 |
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
|
| 18 |
"optimizer_kwargs": {
|
| 19 |
"alpha": 0.99,
|
|
|
|
| 48 |
"_num_timesteps_at_start": 0,
|
| 49 |
"seed": null,
|
| 50 |
"action_noise": null,
|
| 51 |
+
"start_time": 1677334275271144037,
|
| 52 |
+
"learning_rate": 0.001,
|
| 53 |
"tensorboard_log": null,
|
| 54 |
"lr_schedule": {
|
| 55 |
":type:": "<class 'function'>",
|
| 56 |
+
":serialized:": "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"
|
| 57 |
},
|
| 58 |
"_last_obs": {
|
| 59 |
":type:": "<class 'collections.OrderedDict'>",
|
| 60 |
+
":serialized:": "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",
|
| 61 |
+
"achieved_goal": "[[0.42956927 0.00358 0.54059035]\n [0.42956927 0.00358 0.54059035]\n [0.42956927 0.00358 0.54059035]\n [0.42956927 0.00358 0.54059035]]",
|
| 62 |
+
"desired_goal": "[[ 1.2830719 1.1247883 -0.852178 ]\n [ 1.2543029 -0.9292685 0.6421174 ]\n [ 0.7247152 1.586212 1.2847748 ]\n [ 1.686307 0.5442258 0.28732863]]",
|
| 63 |
+
"observation": "[[4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]\n [4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]\n [4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]\n [4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]]"
|
| 64 |
},
|
| 65 |
"_last_episode_starts": {
|
| 66 |
":type:": "<class 'numpy.ndarray'>",
|
|
|
|
| 68 |
},
|
| 69 |
"_last_original_obs": {
|
| 70 |
":type:": "<class 'collections.OrderedDict'>",
|
| 71 |
+
":serialized:": "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",
|
| 72 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
| 73 |
+
"desired_goal": "[[-0.03560075 -0.13220249 0.20715454]\n [-0.02540905 -0.0140601 0.14310637]\n [ 0.00631249 -0.1452353 0.1259512 ]\n [ 0.1107153 -0.01352353 0.29610837]]",
|
| 74 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
| 75 |
},
|
| 76 |
"_episode_num": 0,
|
| 77 |
+
"use_sde": true,
|
| 78 |
"sde_sample_freq": -1,
|
| 79 |
"_current_progress_remaining": 0.0,
|
| 80 |
"ep_info_buffer": {
|
| 81 |
":type:": "<class 'collections.deque'>",
|
| 82 |
+
":serialized:": "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"
|
| 83 |
},
|
| 84 |
"ep_success_buffer": {
|
| 85 |
":type:": "<class 'collections.deque'>",
|
| 86 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 87 |
},
|
| 88 |
+
"_n_updates": 31250,
|
| 89 |
+
"n_steps": 8,
|
| 90 |
+
"gamma": 0.95,
|
| 91 |
+
"gae_lambda": 0.9,
|
| 92 |
"ent_coef": 0.0,
|
| 93 |
+
"vf_coef": 0.4,
|
| 94 |
"max_grad_norm": 0.5,
|
| 95 |
"normalize_advantage": false
|
| 96 |
}
|
a2c-PandaReachDense-v2/policy.optimizer.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40b4ade95c1502766a9db7b3bfc1f0d2910a266b1ec9402e71a0e6045f596bdc
|
| 3 |
+
size 45438
|
a2c-PandaReachDense-v2/policy.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b0542617389272cc46f4ecab07a5d17cbe4c502f9b23409d553692033a9247aa
|
| 3 |
+
size 46718
|
config.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass 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 (Tuple)\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 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: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 MultiInputActorCriticPolicy.__init__ at 0x7f5d7983f4c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f5d798b8a80>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVbQEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLA4WUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWDAAAAAAAAAAAAIC/AACAvwAAgL+UaApLA4WUjAFDlHSUUpSMBGhpZ2iUaBIolgwAAAAAAAAAAACAPwAAgD8AAIA/lGgKSwOFlGgVdJRSlIwNYm91bmRlZF9iZWxvd5RoEiiWAwAAAAAAAAABAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLA4WUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYDAAAAAAAAAAEBAZRoIUsDhZRoFXSUUpSMCl9ucF9yYW5kb22UTnViLg==", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677330254418491139, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[0.43764603 0.0304075 0.57747257]\n [0.43764603 0.0304075 0.57747257]\n [0.43764603 0.0304075 0.57747257]\n [0.43764603 0.0304075 0.57747257]]", "desired_goal": "[[-1.4323006 -1.4532651 1.2914959 ]\n [-1.4230847 1.2450033 1.0998486 ]\n [-0.32899752 -0.1101225 1.2666028 ]\n [-0.5354858 1.5757334 0.3578254 ]]", "observation": "[[ 0.43764603 0.0304075 0.57747257 0.009774 0.00420713 -0.0036161 ]\n [ 0.43764603 0.0304075 0.57747257 0.009774 0.00420713 -0.0036161 ]\n [ 0.43764603 0.0304075 0.57747257 0.009774 0.00420713 -0.0036161 ]\n [ 0.43764603 0.0304075 0.57747257 0.009774 0.00420713 -0.0036161 ]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[ 0.07032179 0.10565726 0.2328101 ]\n [ 0.1360688 0.12427809 0.11833372]\n [-0.14144804 -0.02247702 0.05459565]\n [ 0.12687531 -0.08814092 0.23053771]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 50000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
|
|
|
| 1 |
+
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass 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 (Tuple)\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 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: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 MultiInputActorCriticPolicy.__init__ at 0x7f5d7983f4c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f5d798b8a80>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "gAWVUgMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUaBCTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZSMAUOUdJRSlIwEaGlnaJRoHSiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBVLA4WUaCB0lFKUjA1ib3VuZGVkX2JlbG93lGgdKJYDAAAAAAAAAAEBAZRoEowCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIHSUUpSMDWJvdW5kZWRfYWJvdmWUaB0olgMAAAAAAAAAAQEBlGgsSwOFlGggdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBVoGEsDhZRoGmgdKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZRoIHSUUpRoI2gdKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFUsDhZRoIHSUUpRoKGgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoMmgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoN051YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgVaBhLBoWUaBpoHSiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBVLBoWUaCB0lFKUaCNoHSiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBVLBoWUaCB0lFKUaChoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDJoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDdOdWJ1aBhOaBBOaDdOdWIu", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677334275271144037, "learning_rate": 0.001, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[0.42956927 0.00358 0.54059035]\n [0.42956927 0.00358 0.54059035]\n [0.42956927 0.00358 0.54059035]\n [0.42956927 0.00358 0.54059035]]", "desired_goal": "[[ 1.2830719 1.1247883 -0.852178 ]\n [ 1.2543029 -0.9292685 0.6421174 ]\n [ 0.7247152 1.586212 1.2847748 ]\n [ 1.686307 0.5442258 0.28732863]]", "observation": "[[4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]\n [4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]\n [4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]\n [4.2956927e-01 3.5800007e-03 5.4059035e-01 9.2470616e-02 2.7272585e-04\n 6.6688567e-02]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.03560075 -0.13220249 0.20715454]\n [-0.02540905 -0.0140601 0.14310637]\n [ 0.00631249 -0.1452353 0.1259512 ]\n [ 0.1107153 -0.01352353 0.29610837]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIHbCryVNWAsCUhpRSlIwBbJRLMowBdJRHQKfyQwnpjc51fZQoaAZoCWgPQwhenPhqR3Hgv5SGlFKUaBVLMmgWR0Cn8dp6po9LdX2UKGgGaAloD0MINuohGt3B5b+UhpRSlGgVSzJoFkdAp/FseEIw/XV9lChoBmgJaA9DCOxoHOp34eO/lIaUUpRoFUsyaBZHQKfxCwiaAnV1fZQoaAZoCWgPQwgeh8H8FbLtv5SGlFKUaBVLMmgWR0Cn838ZccENdX2UKGgGaAloD0MI1esWgbG+8L+UhpRSlGgVSzJoFkdAp/MWnn+yaHV9lChoBmgJaA9DCI1feCXJ8/C/lIaUUpRoFUsyaBZHQKfyqS+QEIR1fZQoaAZoCWgPQwikG2FREWfwv5SGlFKUaBVLMmgWR0Cn8kf5k9U0dX2UKGgGaAloD0MIrWpJRzmY8L+UhpRSlGgVSzJoFkdAp/SbKJVKgHV9lChoBmgJaA9DCMqpnWFq6wDAlIaUUpRoFUsyaBZHQKf0M580DU51fZQoaAZoCWgPQwjye5v+7Mf3v5SGlFKUaBVLMmgWR0Cn88ah6By0dX2UKGgGaAloD0MI4Nv0Zz/S+r+UhpRSlGgVSzJoFkdAp/Nl/rjYI3V9lChoBmgJaA9DCPeUnBN7qAPAlIaUUpRoFUsyaBZHQKf2TtMwlB11fZQoaAZoCWgPQwg+XkiHhzD8v5SGlFKUaBVLMmgWR0Cn9ecEvCdjdX2UKGgGaAloD0MIaqZ7ndRX8L+UhpRSlGgVSzJoFkdAp/V5jJ+2E3V9lChoBmgJaA9DCIhjXdxGQ/C/lIaUUpRoFUsyaBZHQKf1GN/e+Eh1fZQoaAZoCWgPQwgLfbCMDV36v5SGlFKUaBVLMmgWR0Cn+AdDx9XtdX2UKGgGaAloD0MIhjqscMsH8b+UhpRSlGgVSzJoFkdAp/eftpmEoXV9lChoBmgJaA9DCBqjdVQ1gfq/lIaUUpRoFUsyaBZHQKf3MpgkTpR1fZQoaAZoCWgPQwjo2EElrmPsv5SGlFKUaBVLMmgWR0Cn9tIFV1fWdX2UKGgGaAloD0MIpBr2e2Ld8r+UhpRSlGgVSzJoFkdAp/oL987ZF3V9lChoBmgJaA9DCDXQfM7dLuu/lIaUUpRoFUsyaBZHQKf5pB2OhkB1fZQoaAZoCWgPQwg0Tdh+Mkb+v5SGlFKUaBVLMmgWR0Cn+TcnVoYfdX2UKGgGaAloD0MI8BezJaui6L+UhpRSlGgVSzJoFkdAp/jYPK+zt3V9lChoBmgJaA9DCLg/Fw0ZD/G/lIaUUpRoFUsyaBZHQKf73xJ/XoV1fZQoaAZoCWgPQwi+a9CX3j74v5SGlFKUaBVLMmgWR0Cn+3eY2Kl6dX2UKGgGaAloD0MIrDlAMEcP8r+UhpRSlGgVSzJoFkdAp/sKk2xY73V9lChoBmgJaA9DCDKOkewRigXAlIaUUpRoFUsyaBZHQKf6qpKjBVN1fZQoaAZoCWgPQwh+5UF6ihzov5SGlFKUaBVLMmgWR0Cn/XZM10kodX2UKGgGaAloD0MIDycwndZtA8CUhpRSlGgVSzJoFkdAp/0Nzjm0V3V9lChoBmgJaA9DCNmTwOYcPO6/lIaUUpRoFUsyaBZHQKf8n6a9bot1fZQoaAZoCWgPQwjQtwVLdUHyv5SGlFKUaBVLMmgWR0Cn/D51V5rydX2UKGgGaAloD0MIVhADXfuC4L+UhpRSlGgVSzJoFkdAp/6F+d9Uj3V9lChoBmgJaA9DCGQfZFkwMfO/lIaUUpRoFUsyaBZHQKf+HW8RL9N1fZQoaAZoCWgPQwiwARHiyhnwv5SGlFKUaBVLMmgWR0Cn/a9fTkQxdX2UKGgGaAloD0MIysUYWMdx6r+UhpRSlGgVSzJoFkdAp/1OGwiaAnV9lChoBmgJaA9DCM9oq5LIPuC/lIaUUpRoFUsyaBZHQKf/gMLF4s51fZQoaAZoCWgPQwhPyqSGNgDuv5SGlFKUaBVLMmgWR0Cn/xgI6bONdX2UKGgGaAloD0MIiA/s+C8Q6r+UhpRSlGgVSzJoFkdAp/6qEi+tbXV9lChoBmgJaA9DCPd0dcdiG/i/lIaUUpRoFUsyaBZHQKf+SOby6MB1fZQoaAZoCWgPQwhRvwtbs9X8v5SGlFKUaBVLMmgWR0CoAISKekHldX2UKGgGaAloD0MIZY16iEZ36b+UhpRSlGgVSzJoFkdAqAAb+717IHV9lChoBmgJaA9DCNPYXgt6b+e/lIaUUpRoFUsyaBZHQKf/reeFtbd1fZQoaAZoCWgPQwhRMGMK1vjxv5SGlFKUaBVLMmgWR0Cn/0yJ0nw5dX2UKGgGaAloD0MIQnv18dD35b+UhpRSlGgVSzJoFkdAqAGBlxwQ2HV9lChoBmgJaA9DCGVwlLw6x+C/lIaUUpRoFUsyaBZHQKgBGPcSGrV1fZQoaAZoCWgPQwhGmngHeNLfv5SGlFKUaBVLMmgWR0CoAKrCvX9SdX2UKGgGaAloD0MI63Hfap14+L+UhpRSlGgVSzJoFkdAqABJh+fAbnV9lChoBmgJaA9DCBtjJ7wEp+6/lIaUUpRoFUsyaBZHQKgCiFaB7NV1fZQoaAZoCWgPQwhQUmABTBnfv5SGlFKUaBVLMmgWR0CoAh+mvW6LdX2UKGgGaAloD0MI+gs9YvTc37+UhpRSlGgVSzJoFkdAqAGxbILgGnV9lChoBmgJaA9DCBeBsb6ByfG/lIaUUpRoFUsyaBZHQKgBUC2+fyx1fZQoaAZoCWgPQwi/8iA9RY74v5SGlFKUaBVLMmgWR0CoA4oJZ4fPdX2UKGgGaAloD0MIuvYF9MLd8b+UhpRSlGgVSzJoFkdAqAMhoTPBznV9lChoBmgJaA9DCOAtkKD4MfG/lIaUUpRoFUsyaBZHQKgCs7bL2Yh1fZQoaAZoCWgPQwiwARHiytnlv5SGlFKUaBVLMmgWR0CoAlKLCN0edX2UKGgGaAloD0MIWKg1zTtO6b+UhpRSlGgVSzJoFkdAqASW4kNWl3V9lChoBmgJaA9DCPZFQlvOpe6/lIaUUpRoFUsyaBZHQKgELmhdt2t1fZQoaAZoCWgPQwjmQA+1bRjwv5SGlFKUaBVLMmgWR0CoA8BUrCm/dX2UKGgGaAloD0MIkgThCijU9b+UhpRSlGgVSzJoFkdAqANfJxNqQHV9lChoBmgJaA9DCOC8OPHVjta/lIaUUpRoFUsyaBZHQKgFk/1xsEd1fZQoaAZoCWgPQwiTHoZWJ2fnv5SGlFKUaBVLMmgWR0CoBStfG+9KdX2UKGgGaAloD0MICOdTxyql2b+UhpRSlGgVSzJoFkdAqAS9INEw4HV9lChoBmgJaA9DCLuaPGU13ee/lIaUUpRoFUsyaBZHQKgEW6dUbUB1fZQoaAZoCWgPQwgMWHIVi9/fv5SGlFKUaBVLMmgWR0CoBpn8baRIdX2UKGgGaAloD0MIFMyYgjVO7b+UhpRSlGgVSzJoFkdAqAYxbGFSKnV9lChoBmgJaA9DCB/bMuAsJeq/lIaUUpRoFUsyaBZHQKgFw1UlzEJ1fZQoaAZoCWgPQwgg0QSKWAQAwJSGlFKUaBVLMmgWR0CoBWHktEofdX2UKGgGaAloD0MIoPtyZrvC57+UhpRSlGgVSzJoFkdAqAel/QSi/XV9lChoBmgJaA9DCDvkZrgB3/O/lIaUUpRoFUsyaBZHQKgHPkQwsXl1fZQoaAZoCWgPQwhWLekoBzPhv5SGlFKUaBVLMmgWR0CoBtBVuJk5dX2UKGgGaAloD0MIstXllICY7r+UhpRSlGgVSzJoFkdAqAZvN9ph4XV9lChoBmgJaA9DCOFgb2JITti/lIaUUpRoFUsyaBZHQKgIvulXRw91fZQoaAZoCWgPQwhZ+zvbo7fuv5SGlFKUaBVLMmgWR0CoCFaAWi1zdX2UKGgGaAloD0MIH9rHCn6b8b+UhpRSlGgVSzJoFkdAqAfomVqveXV9lChoBmgJaA9DCM+j4v+OKPC/lIaUUpRoFUsyaBZHQKgHh27nPmh1fZQoaAZoCWgPQwjNlUG1wYncv5SGlFKUaBVLMmgWR0CoCcPsAvL6dX2UKGgGaAloD0MIQYF38umx17+UhpRSlGgVSzJoFkdAqAlbMA3kxXV9lChoBmgJaA9DCKDiOPBqudq/lIaUUpRoFUsyaBZHQKgI7S9du511fZQoaAZoCWgPQwhdiqvKvqvwv5SGlFKUaBVLMmgWR0CoCIveHi3odX2UKGgGaAloD0MIgQncupsn67+UhpRSlGgVSzJoFkdAqArLQAuIynV9lChoBmgJaA9DCEWduYeEb/a/lIaUUpRoFUsyaBZHQKgKYmqo60Z1fZQoaAZoCWgPQwgJ+aBns2rjv5SGlFKUaBVLMmgWR0CoCfRxtHhCdX2UKGgGaAloD0MIX3r7c9GQ7b+UhpRSlGgVSzJoFkdAqAmTAckt3HV9lChoBmgJaA9DCD/+0qI+ydm/lIaUUpRoFUsyaBZHQKgLzJT2nKp1fZQoaAZoCWgPQwiv7e2W5IDsv5SGlFKUaBVLMmgWR0CoC2QcPvrodX2UKGgGaAloD0MImfT3UnjQ17+UhpRSlGgVSzJoFkdAqAr2JcgQpXV9lChoBmgJaA9DCI4+5gMCnfG/lIaUUpRoFUsyaBZHQKgKlMnqmj11fZQoaAZoCWgPQwjXFp6Xig32v5SGlFKUaBVLMmgWR0CoDMroW56MdX2UKGgGaAloD0MIRBfUt8zp57+UhpRSlGgVSzJoFkdAqAxiOearm3V9lChoBmgJaA9DCJc2HJYGvvC/lIaUUpRoFUsyaBZHQKgL9F/hESd1fZQoaAZoCWgPQwjE7dCwGPXkv5SGlFKUaBVLMmgWR0CoC5L5ylvZdX2UKGgGaAloD0MI48PsZdtp1L+UhpRSlGgVSzJoFkdAqA3MLjPv8nV9lChoBmgJaA9DCKn3VE57yvC/lIaUUpRoFUsyaBZHQKgNY2d/axp1fZQoaAZoCWgPQwgiiPNwAtPmv5SGlFKUaBVLMmgWR0CoDPVWKdhBdX2UKGgGaAloD0MIDECjdOmf8L+UhpRSlGgVSzJoFkdAqAyT+WGATnV9lChoBmgJaA9DCOxMofMau+m/lIaUUpRoFUsyaBZHQKgOyGxD9fl1fZQoaAZoCWgPQwgicCTQYFPVv5SGlFKUaBVLMmgWR0CoDl/j0cwQdX2UKGgGaAloD0MIYDqt26B28L+UhpRSlGgVSzJoFkdAqA3xufmLcnV9lChoBmgJaA9DCI24ADRKV/m/lIaUUpRoFUsyaBZHQKgNkFSsKb91ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 31250, "n_steps": 8, "gamma": 0.95, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
replay.mp4
CHANGED
|
Binary files a/replay.mp4 and b/replay.mp4 differ
|
|
|
results.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"mean_reward": -
|
|
|
|
| 1 |
+
{"mean_reward": -0.7837512896396219, "std_reward": 0.2726802485579963, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-25T15:02:38.501852"}
|
vec_normalize.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3056
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:128b6aa38c445286a3fe25cd4eafe0d8629abf675add77c126a41fb38e18f3a2
|
| 3 |
size 3056
|