Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +8 -8
- 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: -2.44 +/- 1.05
|
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 sha256:93f2af9b1b896cce96a56cafe2a1c4d6d6c9130497e1e19f18ab75d9f7c11c1a
|
3 |
+
size 107991
|
a2c-PandaReachDense-v2/data
CHANGED
@@ -46,7 +46,7 @@
|
|
46 |
"_num_timesteps_at_start": 0,
|
47 |
"seed": null,
|
48 |
"action_noise": null,
|
49 |
-
"start_time":
|
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:": "
|
59 |
-
"achieved_goal": "[[ 0.
|
60 |
-
"desired_goal": "[[
|
61 |
-
"observation": "[[
|
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:": "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,
|
@@ -77,7 +77,7 @@
|
|
77 |
"_current_progress_remaining": 0.0,
|
78 |
"ep_info_buffer": {
|
79 |
":type:": "<class 'collections.deque'>",
|
80 |
-
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
81 |
},
|
82 |
"ep_success_buffer": {
|
83 |
":type:": "<class 'collections.deque'>",
|
|
|
46 |
"_num_timesteps_at_start": 0,
|
47 |
"seed": null,
|
48 |
"action_noise": null,
|
49 |
+
"start_time": 1680729311468935005,
|
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": "[[0.40862525 0.01251706 0.540284 ]\n [0.40862525 0.01251706 0.540284 ]\n [0.40862525 0.01251706 0.540284 ]\n [0.40862525 0.01251706 0.540284 ]]",
|
60 |
+
"desired_goal": "[[-0.0319341 -1.4939796 -0.7061075 ]\n [ 0.36167747 -0.375532 -1.0653125 ]\n [-0.7272605 1.4123406 -1.5801625 ]\n [ 0.07036962 1.1249462 -1.2873967 ]]",
|
61 |
+
"observation": "[[0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]\n [0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]\n [0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]\n [0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]]"
|
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": "[[ 0.12591891 -0.01924221 0.28533572]\n [-0.06492866 -0.05666347 0.24985108]\n [-0.00846023 0.12380091 0.27904898]\n [-0.09974416 0.06217454 0.0990601 ]]",
|
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'>",
|
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 sha256:8b6f6b8821d47c5ddc10e19e3b5b3d64792c936541ce0ec433f5b24533ce4065
|
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 sha256:5218f8408701ea2aef10de2254e8f9c7990e18c2e45fdd558bff6eefddd24548
|
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 0x7f0115070e50>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f0115072580>"}, "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680725748874230646, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA+cS5Pp9NQbxJaRA/+cS5Pp9NQbxJaRA/+cS5Pp9NQbxJaRA/+cS5Pp9NQbxJaRA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAt1U1P304sD9e55U+XOC9Pr3Ivr9W1AO/kHO3PwBhmD9DWGw9iZK0PnDzrz+HTg69lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAD5xLk+n01BvElpED/250q82aqROyk05zv5xLk+n01BvElpED/250q82aqROyk05zv5xLk+n01BvElpED/250q82aqROyk05zv5xLk+n01BvElpED/250q82aqROyk05zuUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.3628309 -0.01179829 0.5641065 ]\n [ 0.3628309 -0.01179829 0.5641065 ]\n [ 0.3628309 -0.01179829 0.5641065 ]\n [ 0.3628309 -0.01179829 0.5641065 ]]", "desired_goal": "[[ 0.70833915 1.3767239 0.29278082]\n [ 0.37085235 -1.490501 -0.51495874]\n [ 1.4332142 1.1904602 0.05770136]\n [ 0.35268047 1.3746166 -0.03474286]]", "observation": "[[ 0.3628309 -0.01179829 0.5641065 -0.01238441 0.00444542 0.00705578]\n [ 0.3628309 -0.01179829 0.5641065 -0.01238441 0.00444542 0.00705578]\n [ 0.3628309 -0.01179829 0.5641065 -0.01238441 0.00444542 0.00705578]\n [ 0.3628309 -0.01179829 0.5641065 -0.01238441 0.00444542 0.00705578]]"}, "_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": "[[-0.09619563 -0.10271439 0.13846488]\n [-0.02820798 0.13999759 0.03754957]\n [-0.1077057 0.130577 0.04262827]\n [-0.01971804 0.11239709 0.2636952 ]]", "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-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+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 0x7f0115070e50>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f0115072580>"}, "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680729311468935005, "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": "[[0.40862525 0.01251706 0.540284 ]\n [0.40862525 0.01251706 0.540284 ]\n [0.40862525 0.01251706 0.540284 ]\n [0.40862525 0.01251706 0.540284 ]]", "desired_goal": "[[-0.0319341 -1.4939796 -0.7061075 ]\n [ 0.36167747 -0.375532 -1.0653125 ]\n [-0.7272605 1.4123406 -1.5801625 ]\n [ 0.07036962 1.1249462 -1.2873967 ]]", "observation": "[[0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]\n [0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]\n [0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]\n [0.40862525 0.01251706 0.540284 0.01388849 0.00057259 0.01422709]]"}, "_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": "[[ 0.12591891 -0.01924221 0.28533572]\n [-0.06492866 -0.05666347 0.24985108]\n [-0.00846023 0.12380091 0.27904898]\n [-0.09974416 0.06217454 0.0990601 ]]", "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-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+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": -2.436004164768383, "std_reward": 1.0475544408750035, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-05T22:06:02.959960"}
|
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 sha256:44c9936a50f8e03751ba4826779c5108f685a9fa44587c2ede94755abfe14f79
|
3 |
size 3056
|