rwr20 commited on
Commit
17f4fdf
1 Parent(s): 86ec375

Initial commit

Browse files
A2C-PandaPickAndPlaceDense-v3.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4e6b1b14c6b2fff1426ad99ef27bfe2f91d1dd25a41e8ba4d2486bcb6c4cfc5
3
+ size 120554
A2C-PandaPickAndPlaceDense-v3/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 2.0.0a5
A2C-PandaPickAndPlaceDense-v3/data ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "policy_class": {
3
+ ":type:": "<class 'abc.ABCMeta'>",
4
+ ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=",
5
+ "__module__": "stable_baselines3.common.policies",
6
+ "__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 ",
7
+ "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x0000021C7CE91620>",
8
+ "__abstractmethods__": "frozenset()",
9
+ "_abc_impl": "<_abc._abc_data object at 0x0000021C7CE8A580>"
10
+ },
11
+ "verbose": 1,
12
+ "policy_kwargs": {
13
+ ":type:": "<class 'dict'>",
14
+ ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=",
15
+ "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
16
+ "optimizer_kwargs": {
17
+ "alpha": 0.99,
18
+ "eps": 1e-05,
19
+ "weight_decay": 0
20
+ }
21
+ },
22
+ "num_timesteps": 1000,
23
+ "_total_timesteps": 1000,
24
+ "_num_timesteps_at_start": 0,
25
+ "seed": null,
26
+ "action_noise": null,
27
+ "start_time": 1714989079990673900,
28
+ "learning_rate": 0.0007,
29
+ "tensorboard_log": null,
30
+ "_last_obs": {
31
+ ":type:": "<class 'collections.OrderedDict'>",
32
+ ":serialized:": "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",
33
+ "achieved_goal": "[[ 1.3044112 0.7683268 0.12032255]\n [-0.66273177 -0.3659164 0.12032255]\n [ 0.6235068 -0.47585195 0.12032255]\n [-0.24543248 0.64232 0.12032255]]",
34
+ "desired_goal": "[[ 1.8122001 1.5443218 -1.3811198 ]\n [ 0.879466 1.1630942 1.6339891 ]\n [-0.3728456 -1.1283029 1.804592 ]\n [-0.8088598 -0.37469706 -1.3811198 ]]",
35
+ "observation": "[[ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 1.3044112 0.7683268 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]\n [ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 -0.66273177 -0.3659164 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]\n [ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 0.6235068 -0.47585195 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]\n [ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 -0.24543248 0.64232 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]]"
36
+ },
37
+ "_last_episode_starts": {
38
+ ":type:": "<class 'numpy.ndarray'>",
39
+ ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
40
+ },
41
+ "_last_original_obs": {
42
+ ":type:": "<class 'collections.OrderedDict'>",
43
+ ":serialized:": "gAWViwIAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAGXRWPP9Spj0K16M8VmcXPmzJAr4K16M8GoNAvHV4hz0K16M8SY8AvoKKEb0K16M8lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAKpNUPZM5/j048zI9J5jfPUi7BT7iYyE+RE6+vYLM2D0Ys1E+POg6PZas5L3xhcs9lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWMAEAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAAAAAAAAGXRWPP9Spj0K16M8AAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6nIdPRlsGqxDI0o+AAAAAAAAAIAAAAAAAAAAAFZnFz5syQK+CtejPAAAAAAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOpyHT0ZbBqsQyNKPgAAAAAAAACAAAAAAAAAAAAag0C8dXiHPQrXozwAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAAAAAAAASY8AvoKKEb0K16M8AAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlGgOSwRLE4aUaBJ0lFKUdS4=",
44
+ "achieved_goal": "[[ 0.0130892 0.08121299 0.02 ]\n [ 0.14785513 -0.12772149 0.02 ]\n [-0.01175001 0.06614772 0.02 ]\n [-0.12554659 -0.03553248 0.02 ]]",
45
+ "desired_goal": "[[ 0.05189816 0.12413325 0.04368898]\n [ 0.10917693 0.13059723 0.15760759]\n [-0.09292272 0.10585882 0.20478475]\n [ 0.04563163 -0.11165731 0.09937657]]",
46
+ "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.3089203e-02\n 8.1212990e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 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 0.0000000e+00 1.4785513e-01\n -1.2772149e-01 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 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 0.0000000e+00 -1.1750007e-02\n 6.6147722e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 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 0.0000000e+00 -1.2554659e-01\n -3.5532482e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]]"
47
+ },
48
+ "_episode_num": 0,
49
+ "use_sde": false,
50
+ "sde_sample_freq": -1,
51
+ "_current_progress_remaining": 0.0,
52
+ "_stats_window_size": 100,
53
+ "ep_info_buffer": {
54
+ ":type:": "<class 'collections.deque'>",
55
+ ":serialized:": "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"
56
+ },
57
+ "ep_success_buffer": {
58
+ ":type:": "<class 'collections.deque'>",
59
+ ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
60
+ },
61
+ "_n_updates": 50,
62
+ "n_steps": 5,
63
+ "gamma": 0.99,
64
+ "gae_lambda": 1.0,
65
+ "ent_coef": 0.0,
66
+ "vf_coef": 0.5,
67
+ "max_grad_norm": 0.5,
68
+ "normalize_advantage": false,
69
+ "observation_space": {
70
+ ":type:": "<class 'gymnasium.spaces.dict.Dict'>",
71
+ ":serialized:": "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",
72
+ "spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])",
73
+ "_shape": null,
74
+ "dtype": null,
75
+ "_np_random": null
76
+ },
77
+ "action_space": {
78
+ ":type:": "<class 'gymnasium.spaces.box.Box'>",
79
+ ":serialized:": "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",
80
+ "dtype": "float32",
81
+ "bounded_below": "[ True True True True]",
82
+ "bounded_above": "[ True True True True]",
83
+ "_shape": [
84
+ 4
85
+ ],
86
+ "low": "[-1. -1. -1. -1.]",
87
+ "high": "[1. 1. 1. 1.]",
88
+ "low_repr": "-1.0",
89
+ "high_repr": "1.0",
90
+ "_np_random": null
91
+ },
92
+ "n_envs": 4,
93
+ "lr_schedule": {
94
+ ":type:": "<class 'function'>",
95
+ ":serialized:": "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"
96
+ }
97
+ }
A2C-PandaPickAndPlaceDense-v3/policy.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1bda83e840cd93f804d541dcf5191f5c4a3b70941674028007ccab398a0ad7d5
3
+ size 51951
A2C-PandaPickAndPlaceDense-v3/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:397512aba8bddbb173dac5da8736efea4efd2a9b4c0648cb6b4afb4ec35c3063
3
+ size 53231
A2C-PandaPickAndPlaceDense-v3/pytorch_variables.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fb4dde0c1ad63b7740276006a06cc491b21b407ea6c889928c223ec77ddad79f
3
+ size 864
A2C-PandaPickAndPlaceDense-v3/system_info.txt ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ - OS: Windows-10-10.0.22631-SP0 10.0.22631
2
+ - Python: 3.11.9
3
+ - Stable-Baselines3: 2.0.0a5
4
+ - PyTorch: 2.2.0
5
+ - GPU Enabled: False
6
+ - Numpy: 1.24.3
7
+ - Cloudpickle: 3.0.0
8
+ - Gymnasium: 0.28.1
9
+ - OpenAI Gym: 0.26.2
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - PandaPickAndPlaceDense-v3
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: A2C
10
+ results:
11
+ - task:
12
+ type: reinforcement-learning
13
+ name: reinforcement-learning
14
+ dataset:
15
+ name: PandaPickAndPlaceDense-v3
16
+ type: PandaPickAndPlaceDense-v3
17
+ metrics:
18
+ - type: mean_reward
19
+ value: -11.01 +/- 1.90
20
+ name: mean_reward
21
+ verified: false
22
+ ---
23
+
24
+ # **A2C** Agent playing **PandaPickAndPlaceDense-v3**
25
+ This is a trained model of a **A2C** agent playing **PandaPickAndPlaceDense-v3**
26
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
27
+
28
+ ## Usage (with Stable-baselines3)
29
+ TODO: Add your code
30
+
31
+
32
+ ```python
33
+ from stable_baselines3 import ...
34
+ from huggingface_sb3 import load_from_hub
35
+
36
+ ...
37
+ ```
config.json ADDED
@@ -0,0 +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 0x0000021C7CE91620>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x0000021C7CE8A580>"}, "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}}, "num_timesteps": 1000, "_total_timesteps": 1000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1714989079990673900, "learning_rate": 0.0007, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 1.3044112 0.7683268 0.12032255]\n [-0.66273177 -0.3659164 0.12032255]\n [ 0.6235068 -0.47585195 0.12032255]\n [-0.24543248 0.64232 0.12032255]]", "desired_goal": "[[ 1.8122001 1.5443218 -1.3811198 ]\n [ 0.879466 1.1630942 1.6339891 ]\n [-0.3728456 -1.1283029 1.804592 ]\n [-0.8088598 -0.37469706 -1.3811198 ]]", "observation": "[[ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 1.3044112 0.7683268 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]\n [ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 -0.66273177 -0.3659164 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]\n [ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 0.6235068 -0.47585195 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]\n [ 0.5842109 -0.4916305 1.4156107 0.09762286 -0.02797361 0.11328804\n -1.0602591 -0.24543248 0.64232 0.12032255 -0.03702876 0.2058336\n 0.03976776 0.14498791 0.08506173 0.07189737 -0.07872247 -0.00202583\n 0.08094105]]"}, "_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": "[[ 0.0130892 0.08121299 0.02 ]\n [ 0.14785513 -0.12772149 0.02 ]\n [-0.01175001 0.06614772 0.02 ]\n [-0.12554659 -0.03553248 0.02 ]]", "desired_goal": "[[ 0.05189816 0.12413325 0.04368898]\n [ 0.10917693 0.13059723 0.15760759]\n [-0.09292272 0.10585882 0.20478475]\n [ 0.04563163 -0.11165731 0.09937657]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.3089203e-02\n 8.1212990e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 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 0.0000000e+00 1.4785513e-01\n -1.2772149e-01 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 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 0.0000000e+00 -1.1750007e-02\n 6.6147722e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 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 0.0000000e+00 -1.2554659e-01\n -3.5532482e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 50, "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, "observation_space": {":type:": "<class 'gymnasium.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True]", "bounded_above": "[ True True True True]", "_shape": [4], "low": "[-1. -1. -1. -1.]", "high": "[1. 1. 1. 1.]", "low_repr": "-1.0", "high_repr": "1.0", "_np_random": null}, "n_envs": 4, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Windows-10-10.0.22631-SP0 10.0.22631", "Python": "3.11.9", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.2.0", "GPU Enabled": "False", "Numpy": "1.24.3", "Cloudpickle": "3.0.0", "Gymnasium": "0.28.1", "OpenAI Gym": "0.26.2"}}
replay.mp4 ADDED
Binary file (694 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": -11.008084380626679, "std_reward": 1.899477064985698, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-06T11:52:05.524857"}
vec_normalize.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f8138ec3dd6cbea9eaee2e306e385262ad51316c49fd4cec8886f127ea799715
3
+ size 2953