Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +13 -13
- 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: -0.88 +/- 0.18
|
| 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 sha256:4965a6d03a8ea11c66572383fbca13cdea9b7d04d53e832de8c1fb3282476e42
|
| 3 |
+
size 109957
|
a2c-PandaReachDense-v2/data
CHANGED
|
@@ -24,7 +24,7 @@
|
|
| 24 |
"_num_timesteps_at_start": 0,
|
| 25 |
"seed": null,
|
| 26 |
"action_noise": null,
|
| 27 |
-
"start_time":
|
| 28 |
"learning_rate": 0.0007,
|
| 29 |
"tensorboard_log": null,
|
| 30 |
"lr_schedule": {
|
|
@@ -33,21 +33,21 @@
|
|
| 33 |
},
|
| 34 |
"_last_obs": {
|
| 35 |
":type:": "<class 'collections.OrderedDict'>",
|
| 36 |
-
":serialized:": "
|
| 37 |
-
"achieved_goal": "[[ 0.
|
| 38 |
-
"desired_goal": "[[-1.
|
| 39 |
-
"observation": "[[ 0.
|
| 40 |
},
|
| 41 |
"_last_episode_starts": {
|
| 42 |
":type:": "<class 'numpy.ndarray'>",
|
| 43 |
-
":serialized:": "
|
| 44 |
},
|
| 45 |
"_last_original_obs": {
|
| 46 |
":type:": "<class 'collections.OrderedDict'>",
|
| 47 |
-
":serialized:": "
|
| 48 |
-
"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]]",
|
| 49 |
-
"desired_goal": "[[
|
| 50 |
-
"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]]"
|
| 51 |
},
|
| 52 |
"_episode_num": 0,
|
| 53 |
"use_sde": false,
|
|
@@ -56,13 +56,13 @@
|
|
| 56 |
"_stats_window_size": 100,
|
| 57 |
"ep_info_buffer": {
|
| 58 |
":type:": "<class 'collections.deque'>",
|
| 59 |
-
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
| 60 |
},
|
| 61 |
"ep_success_buffer": {
|
| 62 |
":type:": "<class 'collections.deque'>",
|
| 63 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 64 |
},
|
| 65 |
-
"_n_updates":
|
| 66 |
"n_steps": 5,
|
| 67 |
"gamma": 0.99,
|
| 68 |
"gae_lambda": 1.0,
|
|
@@ -91,5 +91,5 @@
|
|
| 91 |
"bounded_above": "[ True True True]",
|
| 92 |
"_np_random": null
|
| 93 |
},
|
| 94 |
-
"n_envs":
|
| 95 |
}
|
|
|
|
| 24 |
"_num_timesteps_at_start": 0,
|
| 25 |
"seed": null,
|
| 26 |
"action_noise": null,
|
| 27 |
+
"start_time": 1690807661188537032,
|
| 28 |
"learning_rate": 0.0007,
|
| 29 |
"tensorboard_log": null,
|
| 30 |
"lr_schedule": {
|
|
|
|
| 33 |
},
|
| 34 |
"_last_obs": {
|
| 35 |
":type:": "<class 'collections.OrderedDict'>",
|
| 36 |
+
":serialized:": "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",
|
| 37 |
+
"achieved_goal": "[[ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]]",
|
| 38 |
+
"desired_goal": "[[ 0.5238801 -0.45864934 0.21074007]\n [-0.02108964 0.95666236 -0.7990644 ]\n [-0.81437254 0.18927462 -1.6887802 ]\n [ 0.571659 1.3230317 -0.63285047]\n [-0.11472151 -0.34059024 0.7025782 ]\n [-0.39049765 1.6734722 -0.20571998]\n [ 0.84687537 -0.8570348 0.44724518]\n [ 0.49838793 1.2572671 0.65936327]]",
|
| 39 |
+
"observation": "[[ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]]"
|
| 40 |
},
|
| 41 |
"_last_episode_starts": {
|
| 42 |
":type:": "<class 'numpy.ndarray'>",
|
| 43 |
+
":serialized:": "gAWVewAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYIAAAAAAAAAAEBAQEBAQEBlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlC4="
|
| 44 |
},
|
| 45 |
"_last_original_obs": {
|
| 46 |
":type:": "<class 'collections.OrderedDict'>",
|
| 47 |
+
":serialized:": "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",
|
| 48 |
+
"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]\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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
| 49 |
+
"desired_goal": "[[-0.09608165 -0.1094986 0.14290965]\n [ 0.11131539 0.01181396 0.19188368]\n [-0.08361112 0.00951021 0.21602955]\n [-0.0891431 -0.0081394 0.02584345]\n [ 0.11869615 -0.00960618 0.05980445]\n [ 0.08977289 0.0646885 0.12980863]\n [-0.01910712 -0.04416074 0.04977812]\n [ 0.13444638 -0.0844116 0.0914198 ]]",
|
| 50 |
+
"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]\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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
| 51 |
},
|
| 52 |
"_episode_num": 0,
|
| 53 |
"use_sde": false,
|
|
|
|
| 56 |
"_stats_window_size": 100,
|
| 57 |
"ep_info_buffer": {
|
| 58 |
":type:": "<class 'collections.deque'>",
|
| 59 |
+
":serialized:": "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"
|
| 60 |
},
|
| 61 |
"ep_success_buffer": {
|
| 62 |
":type:": "<class 'collections.deque'>",
|
| 63 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 64 |
},
|
| 65 |
+
"_n_updates": 50000,
|
| 66 |
"n_steps": 5,
|
| 67 |
"gamma": 0.99,
|
| 68 |
"gae_lambda": 1.0,
|
|
|
|
| 91 |
"bounded_above": "[ True True True]",
|
| 92 |
"_np_random": null
|
| 93 |
},
|
| 94 |
+
"n_envs": 8
|
| 95 |
}
|
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 44734
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f9b62117b14351bb7f2c6c8815691c060d64eeffef7699ea0da5668e2b818d3
|
| 3 |
size 44734
|
a2c-PandaReachDense-v2/policy.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 46014
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd04e734dddf23dbfb5888e7b8ff64292521bd1f083ad6a2c3ef7f5ac0a4a4d9
|
| 3 |
size 46014
|
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 0x7bb51e1ee3b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bb51e1dff80>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1690802054731232477, "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": "[[ 0.45064974 -0.02218041 0.58545053]\n [ 0.45064974 -0.02218041 0.58545053]\n [ 0.45064974 -0.02218041 0.58545053]\n [ 0.45064974 -0.02218041 0.58545053]]", "desired_goal": "[[-1.3748798 1.2835314 0.3345284 ]\n [ 0.85991037 -1.3738829 0.06671114]\n [ 0.311549 0.8510163 1.3015054 ]\n [ 1.3307717 0.25253832 -0.98362005]]", "observation": "[[ 0.45064974 -0.02218041 0.58545053 0.00795101 -0.00249787 0.00879033]\n [ 0.45064974 -0.02218041 0.58545053 0.00795101 -0.00249787 0.00879033]\n [ 0.45064974 -0.02218041 0.58545053 0.00795101 -0.00249787 0.00879033]\n [ 0.45064974 -0.02218041 0.58545053 0.00795101 -0.00249787 0.00879033]]"}, "_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": "[[ 0.13752994 -0.07411671 0.1570022 ]\n [ 0.12588927 0.12554647 0.00358045]\n [-0.02404677 0.03304645 0.0576737 ]\n [ 0.11934628 -0.03006774 0.1178577 ]]", "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": 100000, "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 '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, "system_info": {"OS": "Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.6", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "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 0x7bb51e1ee3b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bb51e1dff80>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1690807661188537032, "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": "[[ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]\n [ 0.36862078 -0.00979442 0.55991083]]", "desired_goal": "[[ 0.5238801 -0.45864934 0.21074007]\n [-0.02108964 0.95666236 -0.7990644 ]\n [-0.81437254 0.18927462 -1.6887802 ]\n [ 0.571659 1.3230317 -0.63285047]\n [-0.11472151 -0.34059024 0.7025782 ]\n [-0.39049765 1.6734722 -0.20571998]\n [ 0.84687537 -0.8570348 0.44724518]\n [ 0.49838793 1.2572671 0.65936327]]", "observation": "[[ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]\n [ 0.36862078 -0.00979442 0.55991083 0.0076943 -0.0021273 0.00917143]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVewAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYIAAAAAAAAAAEBAQEBAQEBlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlC4="}, "_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]\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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.09608165 -0.1094986 0.14290965]\n [ 0.11131539 0.01181396 0.19188368]\n [-0.08361112 0.00951021 0.21602955]\n [-0.0891431 -0.0081394 0.02584345]\n [ 0.11869615 -0.00960618 0.05980445]\n [ 0.08977289 0.0646885 0.12980863]\n [-0.01910712 -0.04416074 0.04977812]\n [ 0.13444638 -0.0844116 0.0914198 ]]", "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]\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]\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": 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, "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": 8, "system_info": {"OS": "Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.6", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "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": -0.8834009849699214, "std_reward": 0.1777403941874105, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-31T14:32:46.531709"}
|
vec_normalize.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2387
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aff82a376d9f5b3dad067626cdc94d134d522b2f70c6e4a1a6b1dc0d2a68efbd
|
| 3 |
size 2387
|