Commit
•
f6910bd
1
Parent(s):
863fadf
Initial commit
Browse files- README.md +1 -1
- a2c-PandaPushDense-v2.zip +2 -2
- a2c-PandaPushDense-v2/data +16 -16
- a2c-PandaPushDense-v2/policy.optimizer.pth +1 -1
- a2c-PandaPushDense-v2/policy.pth +1 -1
- 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: PandaPushDense-v2
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
-
value: -
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
|
|
|
| 16 |
type: PandaPushDense-v2
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
+
value: -6.77 +/- 2.64
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
a2c-PandaPushDense-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 sha256:507230a93d211377b5e7e3a979e3578158f92f9502941095a3c8881b51d678ee
|
| 3 |
+
size 124112
|
a2c-PandaPushDense-v2/data
CHANGED
|
@@ -41,49 +41,49 @@
|
|
| 41 |
"_np_random": null
|
| 42 |
},
|
| 43 |
"n_envs": 4,
|
| 44 |
-
"num_timesteps":
|
| 45 |
"_total_timesteps": 1000000,
|
| 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": "[[-
|
| 60 |
-
"desired_goal": "[[
|
| 61 |
-
"observation": "[[
|
| 62 |
},
|
| 63 |
"_last_episode_starts": {
|
| 64 |
":type:": "<class 'numpy.ndarray'>",
|
| 65 |
-
":serialized:": "
|
| 66 |
},
|
| 67 |
"_last_original_obs": {
|
| 68 |
":type:": "<class 'collections.OrderedDict'>",
|
| 69 |
-
":serialized:": "
|
| 70 |
-
"achieved_goal": "[[
|
| 71 |
-
"desired_goal": "[[
|
| 72 |
-
"observation": "[[ 3.
|
| 73 |
},
|
| 74 |
"_episode_num": 0,
|
| 75 |
"use_sde": true,
|
| 76 |
"sde_sample_freq": -1,
|
| 77 |
-
"_current_progress_remaining": 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": 8,
|
| 88 |
"gamma": 0.95,
|
| 89 |
"gae_lambda": 0.9,
|
|
|
|
| 41 |
"_np_random": null
|
| 42 |
},
|
| 43 |
"n_envs": 4,
|
| 44 |
+
"num_timesteps": 366000,
|
| 45 |
"_total_timesteps": 1000000,
|
| 46 |
"_num_timesteps_at_start": 0,
|
| 47 |
"seed": null,
|
| 48 |
"action_noise": null,
|
| 49 |
+
"start_time": 1673905286704359908,
|
| 50 |
+
"learning_rate": 0.001,
|
| 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:": "gAWVewIAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAs/Jzv+ZQub8XmJo9cu2CPwwSg78XmJo934XjvijIbL8XmJo9woSVv4wWB78XmJo9lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAKXnYPY2AUj9QkWcz9vKoP9cCCb9QkWcze0+uP1z8n75QkWczzxhFv+HycL9QkWczlGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWIAEAAAAAAACmZjY/wqRMPl4szz028Kw+gpaFPda/Mz2z8nO/5lC5vxeYmj0EhTG8J76rvHnrvTur5Ps8VsDWO3slET2uJaO6hMU5vJ/T5zumZjY/wqRMPl4szz028Kw+gpaFPda/Mz1y7YI/DBKDvxeYmj0EhTG8J76rvHnrvTur5Ps8VsDWO3slET2uJaO6hMU5vJ/T5zumZjY/wqRMPl4szz028Kw+gpaFPda/Mz3fheO+KMhsvxeYmj0EhTG8J76rvHnrvTur5Ps8VsDWO3slET2uJaO6hMU5vJ/T5zumZjY/wqRMPl4szz028Kw+gpaFPda/Mz3ChJW/jBYHvxeYmj0EhTG8J76rvHnrvTur5Ps8VsDWO3slET2uJaO6hMU5vJ/T5zuUaA5LBEsShpRoEnSUUpR1Lg==",
|
| 59 |
+
"achieved_goal": "[[-0.95292205 -1.4477813 0.0754854 ]\n [ 1.0228713 -1.0239882 0.0754854 ]\n [-0.44438073 -0.92492914 0.0754854 ]\n [-1.168114 -0.5276878 0.0754854 ]]",
|
| 60 |
+
"desired_goal": "[[ 1.05699845e-01 8.22274029e-01 5.39160396e-08]\n [ 1.31991458e+00 -5.35199583e-01 5.39160396e-08]\n [ 1.36180055e+00 -3.12472224e-01 5.39160396e-08]\n [-7.69909799e-01 -9.41206038e-01 5.39160396e-08]]",
|
| 61 |
+
"observation": "[[ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 -9.5292205e-01 -1.4477813e+00\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]\n [ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 1.0228713e+00 -1.0239882e+00\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]\n [ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 -4.4438073e-01 -9.2492914e-01\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]\n [ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 -1.1681139e+00 -5.2768779e-01\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]]"
|
| 62 |
},
|
| 63 |
"_last_episode_starts": {
|
| 64 |
":type:": "<class 'numpy.ndarray'>",
|
| 65 |
+
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
|
| 66 |
},
|
| 67 |
"_last_original_obs": {
|
| 68 |
":type:": "<class 'collections.OrderedDict'>",
|
| 69 |
+
":serialized:": "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",
|
| 70 |
+
"achieved_goal": "[[-0.05502995 0.13272195 0.02 ]\n [-0.09322467 -0.14575924 0.02 ]\n [-0.13615413 -0.14936866 0.02 ]\n [ 0.14784727 0.01573105 0.02 ]]",
|
| 71 |
+
"desired_goal": "[[ 0.05083622 0.08804789 0.02 ]\n [ 0.02379626 -0.1270863 0.02 ]\n [ 0.04615828 -0.03679267 0.02 ]\n [-0.08903829 -0.14590575 0.02 ]]",
|
| 72 |
+
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 -5.5029951e-02 1.3272195e-01\n 2.0000000e-02 0.0000000e+00 -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 -9.3224667e-02 -1.4575924e-01\n 2.0000000e-02 0.0000000e+00 -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 -1.3615413e-01 -1.4936866e-01\n 2.0000000e-02 0.0000000e+00 -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 1.4784727e-01 1.5731046e-02\n 2.0000000e-02 0.0000000e+00 -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]]"
|
| 73 |
},
|
| 74 |
"_episode_num": 0,
|
| 75 |
"use_sde": true,
|
| 76 |
"sde_sample_freq": -1,
|
| 77 |
+
"_current_progress_remaining": 0.634016,
|
| 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": 11437,
|
| 87 |
"n_steps": 8,
|
| 88 |
"gamma": 0.95,
|
| 89 |
"gae_lambda": 0.9,
|
a2c-PandaPushDense-v2/policy.optimizer.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 51582
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93d6919b81ba581a4456d44adee44bf4864baba27456a270d192d5fe2ff9de29
|
| 3 |
size 51582
|
a2c-PandaPushDense-v2/policy.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 52862
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25d96987ba6e56ad29e3b2221e20491bd7591659778dd0f9fa67a47ed80f8e8f
|
| 3 |
size 52862
|
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 0x7f88c6f45ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f88c6f3fea0>"}, "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. -10. -10.\n -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10.], (18,), 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": 226188, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1673904354927834905, "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": "[[-1.34352 -0.04084203 0.09138466]\n [ 0.7553809 -0.7750555 0.09139868]\n [ 0.76612973 1.0031922 0.09140611]\n [-1.1026196 -1.0716443 0.09140065]]", "desired_goal": "[[-2.8558990e-02 -1.9618441e-01 8.6528836e-08]\n [ 9.9116966e-02 2.8852355e-01 8.6528836e-08]\n [-1.3389256e+00 4.8415720e-01 8.6528836e-08]\n [ 1.4001299e+00 9.6945286e-01 8.6528836e-08]]", "observation": "[[ 4.49190110e-01 1.39840293e+00 6.43862426e-01 2.74957448e-01\n -2.57906690e-03 6.50206387e-01 -1.34352005e+00 -4.08420265e-02\n 9.13846642e-02 -1.31115755e-02 -1.51742930e-02 4.19416116e-04\n 1.80050172e-02 1.92852356e-02 4.27646227e-02 -1.28260776e-02\n -1.71171520e-02 -4.60284436e-03]\n [-1.14389050e+00 -1.84074271e+00 -1.31003928e+00 -1.67205393e+00\n -7.27022946e-01 1.02560890e+00 7.55380929e-01 -7.75055528e-01\n 9.13986787e-02 -1.34211918e-02 -1.55905066e-02 5.26792894e-04\n 1.82945058e-02 1.94956250e-02 4.27646227e-02 -1.28260776e-02\n -1.71171520e-02 -4.58062813e-03]\n [-2.83974671e+00 1.50190842e+00 -1.14925039e+00 3.81397516e-01\n -7.31638193e-01 -9.23502445e-01 7.66129732e-01 1.00319219e+00\n 9.14061144e-02 -1.33765852e-02 -1.53870564e-02 -1.85874919e-03\n 1.79568678e-02 1.90010704e-02 4.27646227e-02 -1.28260562e-02\n -1.71171278e-02 -5.02427761e-03]\n [-2.39025378e+00 -1.36118102e+00 -9.53313053e-01 -3.70418787e-01\n 3.64201248e-01 -1.97463512e+00 -1.10261965e+00 -1.07164431e+00\n 9.14006531e-02 -1.33160390e-02 -1.50943352e-02 5.33366762e-03\n 1.88605338e-02 1.88166723e-02 4.27646227e-02 -1.28260413e-02\n -1.71171874e-02 -3.63739091e-03]]"}, "_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": "[[ 0.146382 0.02526433 0.02 ]\n [ 0.10637528 0.12895264 0.02 ]\n [ 0.10306906 0.03702989 0.02 ]\n [ 0.07583421 -0.14783782 0.02 ]]", "desired_goal": "[[-0.08046277 -0.08475961 0.02 ]\n [ 0.10564816 -0.13501087 0.02 ]\n [ 0.13852358 0.06651089 0.02 ]\n [-0.03034666 0.01422482 0.02 ]]", "observation": "[[ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 1.46382004e-01 2.52643265e-02\n 1.99999996e-02 0.00000000e+00 -0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]\n [ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 1.06375284e-01 1.28952637e-01\n 1.99999996e-02 0.00000000e+00 -0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]\n [ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 1.03069060e-01 3.70298922e-02\n 1.99999996e-02 0.00000000e+00 -0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]\n [ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 7.58342072e-02 -1.47837818e-01\n 1.99999996e-02 0.00000000e+00 -0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]]"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.7738240000000001, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 7068, "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-glibc2.27 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "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 0x7f88c6f45ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f88c6f3fea0>"}, "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. -10. -10.\n -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10. 10.], (18,), 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": 366000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1673905286704359908, "learning_rate": 0.001, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/UGJN0vGp/IWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[-0.95292205 -1.4477813 0.0754854 ]\n [ 1.0228713 -1.0239882 0.0754854 ]\n [-0.44438073 -0.92492914 0.0754854 ]\n [-1.168114 -0.5276878 0.0754854 ]]", "desired_goal": "[[ 1.05699845e-01 8.22274029e-01 5.39160396e-08]\n [ 1.31991458e+00 -5.35199583e-01 5.39160396e-08]\n [ 1.36180055e+00 -3.12472224e-01 5.39160396e-08]\n [-7.69909799e-01 -9.41206038e-01 5.39160396e-08]]", "observation": "[[ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 -9.5292205e-01 -1.4477813e+00\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]\n [ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 1.0228713e+00 -1.0239882e+00\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]\n [ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 -4.4438073e-01 -9.2492914e-01\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]\n [ 7.1250379e-01 1.9984725e-01 1.0115884e-01 3.3777016e-01\n 6.5228477e-02 4.3884121e-02 -1.1681139e+00 -5.2768779e-01\n 7.5485401e-02 -1.0834936e-02 -2.0964695e-02 5.7958928e-03\n 3.0748686e-02 6.5536899e-03 3.5436135e-02 -1.2447143e-03\n -1.1338595e-02 7.0747877e-03]]"}, "_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": "[[-0.05502995 0.13272195 0.02 ]\n [-0.09322467 -0.14575924 0.02 ]\n [-0.13615413 -0.14936866 0.02 ]\n [ 0.14784727 0.01573105 0.02 ]]", "desired_goal": "[[ 0.05083622 0.08804789 0.02 ]\n [ 0.02379626 -0.1270863 0.02 ]\n [ 0.04615828 -0.03679267 0.02 ]\n [-0.08903829 -0.14590575 0.02 ]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 -5.5029951e-02 1.3272195e-01\n 2.0000000e-02 0.0000000e+00 -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 -9.3224667e-02 -1.4575924e-01\n 2.0000000e-02 0.0000000e+00 -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 -1.3615413e-01 -1.4936866e-01\n 2.0000000e-02 0.0000000e+00 -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 1.4784727e-01 1.5731046e-02\n 2.0000000e-02 0.0000000e+00 -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]]"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.634016, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 11437, "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-glibc2.27 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "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": -6.769679347425699, "std_reward": 2.6358127978666155, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-16T21:59:24.595833"}
|
vec_normalize.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3839
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee43f4944aa48a34d31f3c05f8d14999138589294fa41bb69855535c8471866d
|
| 3 |
size 3839
|