arenbeglaryan commited on
Commit
425e81e
1 Parent(s): 5164373

Initial commit

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
- value: -2.54 +/- 1.02
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -3.79 +/- 0.64
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 sha256:6ee5eb5623ee787aa608a1462b57643b6e4ce0aba07914f7eb2d66d408d5e473
3
- size 107768
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:683965c55077efc328d754ea6dc09cee1c1934659bd870f10495f57d95e3dcce
3
+ size 107732
a2c-PandaReachDense-v2/data CHANGED
@@ -41,12 +41,12 @@
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
- "num_timesteps": 1000000,
45
- "_total_timesteps": 1000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1677829596594250095,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
@@ -55,10 +55,10 @@
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
- ":serialized:": "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",
59
- "achieved_goal": "[[ 0.4466107 -0.01029751 0.5590934 ]\n [ 0.4466107 -0.01029751 0.5590934 ]\n [ 0.4466107 -0.01029751 0.5590934 ]\n [ 0.4466107 -0.01029751 0.5590934 ]]",
60
- "desired_goal": "[[ 1.5581707 0.50011396 0.73939794]\n [-0.6255851 -1.414105 -0.22834018]\n [-0.3244461 -0.17393225 -0.32677147]\n [-1.4643446 0.14579216 1.2496364 ]]",
61
- "observation": "[[ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]\n [ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]\n [ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]\n [ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
@@ -66,9 +66,9 @@
66
  },
67
  "_last_original_obs": {
68
  ":type:": "<class 'collections.OrderedDict'>",
69
- ":serialized:": "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",
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": "[[-0.06557502 -0.08515548 0.0940225 ]\n [-0.0612223 0.07299742 0.22774594]\n [-0.1045479 -0.11361875 0.07808674]\n [ 0.10467189 -0.00159243 0.12575315]]",
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,
@@ -77,13 +77,13 @@
77
  "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
- ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
- "_n_updates": 50000,
87
  "n_steps": 5,
88
  "gamma": 0.99,
89
  "gae_lambda": 1.0,
 
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
+ "num_timesteps": 1500000,
45
+ "_total_timesteps": 1500000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
+ "start_time": 1677837937040700791,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
 
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
+ ":serialized:": "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",
59
+ "achieved_goal": "[[0.46078336 0.05214931 0.539796 ]\n [0.46078336 0.05214931 0.539796 ]\n [0.46078336 0.05214931 0.539796 ]\n [0.46078336 0.05214931 0.539796 ]]",
60
+ "desired_goal": "[[-1.0238929 -1.3146459 -0.0293877 ]\n [-0.74889183 0.10131145 1.4293466 ]\n [-1.037396 -0.18090282 0.9891895 ]\n [-1.1908985 1.131431 -0.19460033]]",
61
+ "observation": "[[0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]\n [0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]\n [0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]\n [0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
 
66
  },
67
  "_last_original_obs": {
68
  ":type:": "<class 'collections.OrderedDict'>",
69
+ ":serialized:": "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",
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": "[[-0.03186836 -0.0487195 0.00259324]\n [ 0.01477815 -0.06888273 0.03039209]\n [-0.11267997 -0.05045089 0.19834305]\n [ 0.06625599 -0.13024864 0.05568394]]",
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,
 
77
  "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
+ ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
+ "_n_updates": 75000,
87
  "n_steps": 5,
88
  "gamma": 0.99,
89
  "gae_lambda": 1.0,
a2c-PandaReachDense-v2/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0cd19ab54cba4d4be75443020c71800a58baa4cd5fed66d0cda597e63d1d7431
3
  size 44606
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12f830e3ac6329f055313b872773d1c591e013089e6e8bc6eaf5ffa92b248227
3
  size 44606
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0f021c16a7c0ea4cee7c78e82891af5c399f016bd2d129a9f6c5f9df0289a9cb
3
  size 45886
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:40d1f35511f414de6ec084425a52dd173f686e1ced094b5519f8e23fa0a1c877
3
  size 45886
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 0x7f48acaef5e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f48acb63c00>"}, "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:": "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": 1677829596594250095, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAKKrkPue2KLy/IA8/KKrkPue2KLy/IA8/KKrkPue2KLy/IA8/KKrkPue2KLy/IA8/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAI3LHP3gHAD8vST0/WCYgv2UBtb8C0mm+zR2mvkwbMr6XTqe+pW+7v4pKFT4W9J8/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAAoquQ+57YovL8gDz/y5Ik85avjuvx0MDwoquQ+57YovL8gDz/y5Ik85avjuvx0MDwoquQ+57YovL8gDz/y5Ik85avjuvx0MDwoquQ+57YovL8gDz/y5Ik85avjuvx0MDyUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.4466107 -0.01029751 0.5590934 ]\n [ 0.4466107 -0.01029751 0.5590934 ]\n [ 0.4466107 -0.01029751 0.5590934 ]\n [ 0.4466107 -0.01029751 0.5590934 ]]", "desired_goal": "[[ 1.5581707 0.50011396 0.73939794]\n [-0.6255851 -1.414105 -0.22834018]\n [-0.3244461 -0.17393225 -0.32677147]\n [-1.4643446 0.14579216 1.2496364 ]]", "observation": "[[ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]\n [ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]\n [ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]\n [ 0.4466107 -0.01029751 0.5590934 0.0168328 -0.001737 0.01077008]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAMkyGvf9lrr3fjsA9PMR6vax/lT07Nmk+Nh3WvfKw6L3x6589N17WPRi50LpvxQA+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[-0.06557502 -0.08515548 0.0940225 ]\n [-0.0612223 0.07299742 0.22774594]\n [-0.1045479 -0.11361875 0.07808674]\n [ 0.10467189 -0.00159243 0.12575315]]", "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": "False", "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 0x7f48acaef5e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f48acb63c00>"}, "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:": "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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": 1500000, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677837937040700791, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/RvAGjbi6x4WUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[0.46078336 0.05214931 0.539796 ]\n [0.46078336 0.05214931 0.539796 ]\n [0.46078336 0.05214931 0.539796 ]\n [0.46078336 0.05214931 0.539796 ]]", "desired_goal": "[[-1.0238929 -1.3146459 -0.0293877 ]\n [-0.74889183 0.10131145 1.4293466 ]\n [-1.037396 -0.18090282 0.9891895 ]\n [-1.1908985 1.131431 -0.19460033]]", "observation": "[[0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]\n [0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]\n [0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]\n [0.46078336 0.05214931 0.539796 0.00732936 0.0071191 0.01892002]]"}, "_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": "[[-0.03186836 -0.0487195 0.00259324]\n [ 0.01477815 -0.06888273 0.03039209]\n [-0.11267997 -0.05045089 0.19834305]\n [ 0.06625599 -0.13024864 0.05568394]]", "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": 75000, "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": "False", "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": -2.5431579183787107, "std_reward": 1.0186767996969661, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-03T09:53:25.799239"}
 
1
+ {"mean_reward": -3.7869467755313964, "std_reward": 0.6377070697588152, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-03T11:54:52.002296"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5334c78eb8ec415deeaad6d7ad2b55423f08256cc71041439bbde2ad2d9745b2
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b207b7b3397394ff9c5e9f8054af461df1ff73d197b9fa455b01bc766810bc36
3
  size 3056