Commit
•
b36a901
1
Parent(s):
f02e025
commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +14 -14
- a2c-PandaReachDense-v2/policy.optimizer.pth +1 -1
- a2c-PandaReachDense-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: PandaReachDense-v2
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
-
value: -
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
|
|
|
| 16 |
type: PandaReachDense-v2
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
+
value: -2.47 +/- 0.24
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
a2c-PandaReachDense-v2.zip
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7be65256c16c8133300f48acd64029a54aa00631e4d707bc34dd3cfac57f4e1d
|
| 3 |
+
size 107822
|
a2c-PandaReachDense-v2/data
CHANGED
|
@@ -41,49 +41,49 @@
|
|
| 41 |
"_np_random": null
|
| 42 |
},
|
| 43 |
"n_envs": 4,
|
| 44 |
-
"num_timesteps":
|
| 45 |
"_total_timesteps": 3000000,
|
| 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:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/
|
| 55 |
},
|
| 56 |
"_last_obs": {
|
| 57 |
":type:": "<class 'collections.OrderedDict'>",
|
| 58 |
-
":serialized:": "
|
| 59 |
-
"achieved_goal": "[[ 0.
|
| 60 |
-
"desired_goal": "[[ 0.
|
| 61 |
-
"observation": "[[ 0.
|
| 62 |
},
|
| 63 |
"_last_episode_starts": {
|
| 64 |
":type:": "<class 'numpy.ndarray'>",
|
| 65 |
-
":serialized:": "
|
| 66 |
},
|
| 67 |
"_last_original_obs": {
|
| 68 |
":type:": "<class 'collections.OrderedDict'>",
|
| 69 |
-
":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
| 70 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
| 71 |
-
"desired_goal": "[[-
|
| 72 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
| 73 |
},
|
| 74 |
"_episode_num": 0,
|
| 75 |
"use_sde": false,
|
| 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": 5,
|
| 88 |
"gamma": 0.99,
|
| 89 |
"gae_lambda": 1.0,
|
|
|
|
| 41 |
"_np_random": null
|
| 42 |
},
|
| 43 |
"n_envs": 4,
|
| 44 |
+
"num_timesteps": 671540,
|
| 45 |
"_total_timesteps": 3000000,
|
| 46 |
"_num_timesteps_at_start": 0,
|
| 47 |
"seed": null,
|
| 48 |
"action_noise": null,
|
| 49 |
+
"start_time": 1679634525814108697,
|
| 50 |
+
"learning_rate": 0.003,
|
| 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:": "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",
|
| 59 |
+
"achieved_goal": "[[ 0.14163972 1.655901 0.33130142]\n [ 1.3489255 1.1732751 0.9829864 ]\n [ 1.292189 0.69426304 1.3279775 ]\n [ 0.36068514 -1.7697209 0.59223473]]",
|
| 60 |
+
"desired_goal": "[[ 0.34143904 1.5339311 0.19476758]\n [ 0.62768126 1.2319652 1.2915729 ]\n [ 1.0374504 0.6493917 1.2834028 ]\n [ 0.20410323 -1.7212939 1.3095878 ]]",
|
| 61 |
+
"observation": "[[ 0.14163972 1.655901 0.33130142 -1.5899563 -1.5085615 0.15545093]\n [ 1.3489255 1.1732751 0.9829864 0.23100244 0.58504236 0.08566823]\n [ 1.292189 0.69426304 1.3279775 -0.36325043 1.4538782 0.8046655 ]\n [ 0.36068514 -1.7697209 0.59223473 -1.0516053 1.0173664 -1.2080822 ]]"
|
| 62 |
},
|
| 63 |
"_last_episode_starts": {
|
| 64 |
":type:": "<class 'numpy.ndarray'>",
|
| 65 |
+
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
|
| 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": "[[ 1.8463524e-04 1.3352504e-01 2.3731895e-01]\n [-8.2223780e-02 -5.6344722e-03 2.7044162e-02]\n [-1.1112944e-01 9.8395392e-02 6.9277085e-02]\n [-1.6254218e-02 -1.1308570e-01 2.5854182e-01]]",
|
| 72 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
| 73 |
},
|
| 74 |
"_episode_num": 0,
|
| 75 |
"use_sde": false,
|
| 76 |
"sde_sample_freq": -1,
|
| 77 |
+
"_current_progress_remaining": 0.7761533333333334,
|
| 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": 33577,
|
| 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:
|
| 3 |
size 44606
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:860ade9890d63b8d1ae283d3354dce77cb49173c743461a713fb535072f362a2
|
| 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:
|
| 3 |
size 45886
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6e6bffb94e5b72ea072d1d064265e410e0ae2ac3215fdff89cb8f1b16f66c80
|
| 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 0x7f49cc018b80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f49cc015e80>"}, "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": 3000000, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679623582862520359, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAB74IP2Z9k71nwi4/B74IP2Z9k71nwi4/B74IP2Z9k71nwi4/B74IP2Z9k71nwi4/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAuIxyPwcYuD/2aHU/v+TYvxxatD/zKrq/tGIWvs4P3D9Qu88/70vTvdGq0L+q9FE/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAAHvgg/Zn2TvWfCLj+xsow8Ph2EuxZPzzwHvgg/Zn2TvWfCLj+xsow8Ph2EuxZPzzwHvgg/Zn2TvWfCLj+xsow8Ph2EuxZPzzwHvgg/Zn2TvWfCLj+xsow8Ph2EuxZPzzyUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.5341496 -0.07201652 0.68265384]\n [ 0.5341496 -0.07201652 0.68265384]\n [ 0.5341496 -0.07201652 0.68265384]\n [ 0.5341496 -0.07201652 0.68265384]]", "desired_goal": "[[ 0.9474597 1.4382333 0.9586328 ]\n [-1.6944808 1.4089999 -1.4544357 ]\n [-0.1468609 1.7192323 1.6229038 ]\n [-0.10317218 -1.6302129 0.8201395 ]]", "observation": "[[ 0.5341496 -0.07201652 0.68265384 0.01717505 -0.00403181 0.02530627]\n [ 0.5341496 -0.07201652 0.68265384 0.01717505 -0.00403181 0.02530627]\n [ 0.5341496 -0.07201652 0.68265384 0.01717505 -0.00403181 0.02530627]\n [ 0.5341496 -0.07201652 0.68265384 0.01717505 -0.00403181 0.02530627]]"}, "_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": "[[-0.07369947 -0.02944095 0.05260976]\n [-0.02195842 -0.11905459 0.04939954]\n [ 0.01134236 -0.1119239 0.18143854]\n [ 0.05352851 0.11686314 0.14719635]]", "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": 150000, "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-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "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 0x7f49cc018b80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f49cc015e80>"}, "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": 671540, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679634525814108697, "learning_rate": 0.003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.14163972 1.655901 0.33130142]\n [ 1.3489255 1.1732751 0.9829864 ]\n [ 1.292189 0.69426304 1.3279775 ]\n [ 0.36068514 -1.7697209 0.59223473]]", "desired_goal": "[[ 0.34143904 1.5339311 0.19476758]\n [ 0.62768126 1.2319652 1.2915729 ]\n [ 1.0374504 0.6493917 1.2834028 ]\n [ 0.20410323 -1.7212939 1.3095878 ]]", "observation": "[[ 0.14163972 1.655901 0.33130142 -1.5899563 -1.5085615 0.15545093]\n [ 1.3489255 1.1732751 0.9829864 0.23100244 0.58504236 0.08566823]\n [ 1.292189 0.69426304 1.3279775 -0.36325043 1.4538782 0.8046655 ]\n [ 0.36068514 -1.7697209 0.59223473 -1.0516053 1.0173664 -1.2080822 ]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAApZpBOcq6CD69A3M+8WSovWGhuLu4i9081ZfjvYaDyT0l4Y09kSeFvHqZ572YX4Q+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": "[[ 1.8463524e-04 1.3352504e-01 2.3731895e-01]\n [-8.2223780e-02 -5.6344722e-03 2.7044162e-02]\n [-1.1112944e-01 9.8395392e-02 6.9277085e-02]\n [-1.6254218e-02 -1.1308570e-01 2.5854182e-01]]", "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": 0.7761533333333334, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 33577, "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-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "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": -
|
|
|
|
| 1 |
+
{"mean_reward": -2.4699075443204492, "std_reward": 0.23993606916197022, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-24T05:45:52.348131"}
|
vec_normalize.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3056
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:12c201973606329170a8e127fcf008b2155d4280a45055e631f993f840c1fd25
|
| 3 |
size 3056
|