Hugging Face's logo

hishamcse
/
a2c-PandaReachDense-v3

Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results
Model card Files Community
hishamcse commited on
Commit
31148b3
•
1 Parent(s): c02dc09

PandaReach Solved

Browse files
Files changed (9) hide show
  1. README.md +1 -1
  2. a2c-PandaReachDense-v3.zip +2 -2
  3. a2c-PandaReachDense-v3/data +12 -12
  4. a2c-PandaReachDense-v3/policy.optimizer.pth +1 -1
  5. a2c-PandaReachDense-v3/policy.pth +1 -1
  6. config.json +1 -1
  7. replay.mp4 +0 -0
  8. results.json +1 -1
  9. vec_normalize.pkl +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v3
17
  metrics:
18
  - type: mean_reward
19
- value: -0.19 +/- 0.10
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v3
17
  metrics:
18
  - type: mean_reward
19
+ value: -0.18 +/- 0.10
20
  name: mean_reward
21
  verified: false
22
  ---
a2c-PandaReachDense-v3.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:32c34d1a152eb84646605ff1945abcb8d0f96a55144808d9e5bfbeb0ff2686c9
3
- size 107872
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c327b66eb17b4aa4e8ca3bcb633b65ed429aeccdbf44665f96ff381b996e89f
3
+ size 107875
a2c-PandaReachDense-v3/data CHANGED
@@ -19,30 +19,30 @@
19
  "weight_decay": 0
20
  }
21
  },
22
- "num_timesteps": 500000,
23
- "_total_timesteps": 500000,
24
  "_num_timesteps_at_start": 0,
25
  "seed": null,
26
  "action_noise": null,
27
- "start_time": 1718978207166047434,
28
  "learning_rate": 0.0008,
29
  "tensorboard_log": null,
30
  "_last_obs": {
31
  ":type:": "<class 'collections.OrderedDict'>",
32
- ":serialized:": "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",
33
- "achieved_goal": "[[-2.1145265 1.2109166 -1.0853802 ]\n [ 0.72918284 -0.33714497 0.24060969]\n [ 0.06962644 0.24335112 -0.08195139]\n [-0.20999551 -0.3750963 0.29461485]]",
34
- "desired_goal": "[[-1.5420191 1.5964426 -0.8900565 ]\n [ 1.3900167 -0.52887833 -0.58821005]\n [-1.1391845 1.3664321 -0.917825 ]\n [-0.0526975 -1.2307358 0.86009514]]",
35
- "observation": "[[-2.1145265 1.2109166 -1.0853802 -2.3020284 -0.47229606 -0.04864804]\n [ 0.72918284 -0.33714497 0.24060969 1.3710556 -1.6311586 -1.1927776 ]\n [ 0.06962644 0.24335112 -0.08195139 -1.7138622 1.7018869 -1.4610724 ]\n [-0.20999551 -0.3750963 0.29461485 -0.7836527 -1.7094939 0.8805507 ]]"
36
  },
37
  "_last_episode_starts": {
38
  ":type:": "<class 'numpy.ndarray'>",
39
- ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
40
  },
41
  "_last_original_obs": {
42
  ":type:": "<class 'collections.OrderedDict'>",
43
- ":serialized:": "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",
44
  "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]]",
45
- "desired_goal": "[[-0.14721797 0.14145952 0.18789679]\n [ 0.12971438 -0.05878402 0.2568012 ]\n [-0.1233416 0.11110318 0.28116846]\n [-0.0853532 0.07504939 0.21816327]]",
46
  "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]]"
47
  },
48
  "_episode_num": 0,
@@ -52,13 +52,13 @@
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": 77510,
62
  "n_steps": 5,
63
  "gamma": 0.99,
64
  "gae_lambda": 1.0,
 
19
  "weight_decay": 0
20
  }
21
  },
22
+ "num_timesteps": 1500000,
23
+ "_total_timesteps": 1500000,
24
  "_num_timesteps_at_start": 0,
25
  "seed": null,
26
  "action_noise": null,
27
+ "start_time": 1718980170904603418,
28
  "learning_rate": 0.0008,
29
  "tensorboard_log": null,
30
  "_last_obs": {
31
  ":type:": "<class 'collections.OrderedDict'>",
32
+ ":serialized:": "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",
33
+ "achieved_goal": "[[ 0.31522056 -0.02649785 0.39925325]\n [ 0.6994626 -0.3600131 0.2753637 ]\n [ 0.31522056 -0.02649785 0.39925325]\n [ 0.07995557 0.32824513 -0.04309247]]",
34
+ "desired_goal": "[[ 0.629473 -0.20057617 0.07336766]\n [ 1.3750665 -0.86633176 0.3405781 ]\n [-0.81370586 -1.0508884 0.5459332 ]\n [ 0.5664399 0.3444986 -0.9460655 ]]",
35
+ "observation": "[[ 0.31522056 -0.02649785 0.39925325 0.32078663 -0.00557844 0.3325156 ]\n [ 0.6994626 -0.3600131 0.2753637 0.63325614 -1.5883988 -0.64336115]\n [ 0.31522056 -0.02649785 0.39925325 0.32078663 -0.00557844 0.3325156 ]\n [ 0.07995557 0.32824513 -0.04309247 -1.6256876 1.6630983 -1.5064474 ]]"
36
  },
37
  "_last_episode_starts": {
38
  ":type:": "<class 'numpy.ndarray'>",
39
+ ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEAAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
40
  },
41
  "_last_original_obs": {
42
  ":type:": "<class 'collections.OrderedDict'>",
43
+ ":serialized:": "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",
44
  "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]]",
45
+ "desired_goal": "[[-0.09409213 0.01541972 0.21253444]\n [ 0.04797117 0.07397158 0.11200376]\n [ 0.01515026 -0.03294854 0.01666675]\n [-0.01990913 -0.1087835 0.18257889]]",
46
  "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]]"
47
  },
48
  "_episode_num": 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": 152510,
62
  "n_steps": 5,
63
  "gamma": 0.99,
64
  "gae_lambda": 1.0,
a2c-PandaReachDense-v3/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:016e2edda1faa6faad0319453cb3cabc1de4a3d11cb5dcc44cdad78b1651a51a
3
  size 45039
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa9a12846314ce71bda13183fced70f947e720dcfa23dd893312a96faa95a5f9
3
  size 45039
a2c-PandaReachDense-v3/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1a9e046c7b6f20567f75692126f7abafc41df62416af49764f020d320be29310
3
  size 46319
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f0a713a6274676e59b6b0663d45e9d0ea9e4d56484dcb6333886cf561954f4f
3
  size 46319
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 0x7b12130f5f30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b1212fc0a40>"}, "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": 500000, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718978207166047434, "learning_rate": 0.0008, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[-2.1145265 1.2109166 -1.0853802 ]\n [ 0.72918284 -0.33714497 0.24060969]\n [ 0.06962644 0.24335112 -0.08195139]\n [-0.20999551 -0.3750963 0.29461485]]", "desired_goal": "[[-1.5420191 1.5964426 -0.8900565 ]\n [ 1.3900167 -0.52887833 -0.58821005]\n [-1.1391845 1.3664321 -0.917825 ]\n [-0.0526975 -1.2307358 0.86009514]]", "observation": "[[-2.1145265 1.2109166 -1.0853802 -2.3020284 -0.47229606 -0.04864804]\n [ 0.72918284 -0.33714497 0.24060969 1.3710556 -1.6311586 -1.1927776 ]\n [ 0.06962644 0.24335112 -0.08195139 -1.7138622 1.7018869 -1.4610724 ]\n [-0.20999551 -0.3750963 0.29461485 -0.7836527 -1.7094939 0.8805507 ]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": "[[-0.14721797 0.14145952 0.18789679]\n [ 0.12971438 -0.05878402 0.2568012 ]\n [-0.1233416 0.11110318 0.28116846]\n [-0.0853532 0.07504939 0.21816327]]", "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, "_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": 77510, "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:": "gAWVsAMAAAAAAACMFWd5bW5hc2l1bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwUZ3ltbmFzaXVtLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowNYm91bmRlZF9iZWxvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYDAAAAAAAAAAEBAZRoE4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoHCiWAwAAAAAAAAABAQGUaCBLA4WUaCR0lFKUjAZfc2hhcGWUSwOFlIwDbG93lGgcKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFksDhZRoJHSUUpSMBGhpZ2iUaBwolgwAAAAAAAAAAAAgQQAAIEEAACBBlGgWSwOFlGgkdJRSlIwIbG93X3JlcHKUjAUtMTAuMJSMCWhpZ2hfcmVwcpSMBDEwLjCUjApfbnBfcmFuZG9tlE51YowMZGVzaXJlZF9nb2FslGgNKYGUfZQoaBBoFmgZaBwolgMAAAAAAAAAAQEBlGggSwOFlGgkdJRSlGgnaBwolgMAAAAAAAAAAQEBlGggSwOFlGgkdJRSlGgsSwOFlGguaBwolgwAAAAAAAAAAAAgwQAAIMEAACDBlGgWSwOFlGgkdJRSlGgzaBwolgwAAAAAAAAAAAAgQQAAIEEAACBBlGgWSwOFlGgkdJRSlGg4jAUtMTAuMJRoOowEMTAuMJRoPE51YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgWaBloHCiWBgAAAAAAAAABAQEBAQGUaCBLBoWUaCR0lFKUaCdoHCiWBgAAAAAAAAABAQEBAQGUaCBLBoWUaCR0lFKUaCxLBoWUaC5oHCiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBZLBoWUaCR0lFKUaDNoHCiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBZLBoWUaCR0lFKUaDiMBS0xMC4wlGg6jAQxMC4wlGg8TnVidWgsTmgQTmg8TnViLg==", "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, (6,), 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]", "bounded_above": "[ True True True]", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[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": "Linux-5.15.133+-x86_64-with-glibc2.31 # 1 SMP Tue Dec 19 13:14:11 UTC 2023", "Python": "3.10.13", "Stable-Baselines3": "2.1.0", "PyTorch": "2.1.2+cpu", "GPU Enabled": "False", "Numpy": "1.26.4", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.0", "OpenAI Gym": "0.26.2"}}
 
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 0x7b12130f5f30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b1212fc0a40>"}, "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": 1500000, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718980170904603418, "learning_rate": 0.0008, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.31522056 -0.02649785 0.39925325]\n [ 0.6994626 -0.3600131 0.2753637 ]\n [ 0.31522056 -0.02649785 0.39925325]\n [ 0.07995557 0.32824513 -0.04309247]]", "desired_goal": "[[ 0.629473 -0.20057617 0.07336766]\n [ 1.3750665 -0.86633176 0.3405781 ]\n [-0.81370586 -1.0508884 0.5459332 ]\n [ 0.5664399 0.3444986 -0.9460655 ]]", "observation": "[[ 0.31522056 -0.02649785 0.39925325 0.32078663 -0.00557844 0.3325156 ]\n [ 0.6994626 -0.3600131 0.2753637 0.63325614 -1.5883988 -0.64336115]\n [ 0.31522056 -0.02649785 0.39925325 0.32078663 -0.00557844 0.3325156 ]\n [ 0.07995557 0.32824513 -0.04309247 -1.6256876 1.6630983 -1.5064474 ]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEAAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": "[[-0.09409213 0.01541972 0.21253444]\n [ 0.04797117 0.07397158 0.11200376]\n [ 0.01515026 -0.03294854 0.01666675]\n [-0.01990913 -0.1087835 0.18257889]]", "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, "_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": 152510, "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, (6,), 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]", "bounded_above": "[ True True True]", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[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": "Linux-5.15.133+-x86_64-with-glibc2.31 # 1 SMP Tue Dec 19 13:14:11 UTC 2023", "Python": "3.10.13", "Stable-Baselines3": "2.1.0", "PyTorch": "2.1.2+cpu", "GPU Enabled": "False", "Numpy": "1.26.4", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.0", "OpenAI Gym": "0.26.2"}}
replay.mp4 CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
1
- {"mean_reward": -0.19324629995971918, "std_reward": 0.10349677344638532, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-21T14:18:36.739260"}
 
1
+ {"mean_reward": -0.17965951040387154, "std_reward": 0.09606160702893711, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-21T15:33:49.499907"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:17db7b535cc3e0e1b6bf69583ff90cb33e138203aa94c2cbead449d8278aa209
3
  size 2623
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:585cc68987665b7c0f686307dad636ec8f026ee81acc12fa164a601a9fd83e9f
3
  size 2623