Commit
•
5c83058
1
Parent(s):
bf84b24
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 +2 -2
- 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: -2.12 +/- 0.66
|
| 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 sha256:1284c8b2f97dee21128b2e6938844e1931855daea376debc3c10ca745597bf6b
|
| 3 |
+
size 108035
|
a2c-PandaReachDense-v2/data
CHANGED
|
@@ -41,12 +41,12 @@
|
|
| 41 |
"_np_random": null
|
| 42 |
},
|
| 43 |
"n_envs": 4,
|
| 44 |
-
"num_timesteps":
|
| 45 |
-
"_total_timesteps":
|
| 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": {
|
|
@@ -55,35 +55,35 @@
|
|
| 55 |
},
|
| 56 |
"_last_obs": {
|
| 57 |
":type:": "<class 'collections.OrderedDict'>",
|
| 58 |
-
":serialized:": "
|
| 59 |
-
"achieved_goal": "[[ 0.
|
| 60 |
-
"desired_goal": "[[
|
| 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": "[[ 0.
|
| 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": 34492,
|
| 45 |
+
"_total_timesteps": 1500000,
|
| 46 |
"_num_timesteps_at_start": 0,
|
| 47 |
"seed": null,
|
| 48 |
"action_noise": null,
|
| 49 |
+
"start_time": 1677348593333981589,
|
| 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": "[[ 0.01951982 0.3400423 -0.04250236]\n [ 0.17142089 -0.8453671 1.0826621 ]\n [ 0.24917096 0.54272 -0.44608924]\n [ 0.74170125 -0.8437162 -0.6996623 ]]",
|
| 60 |
+
"desired_goal": "[[-0.23637082 0.31824097 -0.48496047]\n [ 0.84661674 -1.4570659 1.4520468 ]\n [ 0.6954103 1.548298 -1.0755886 ]\n [ 1.5387918 -1.6536138 -1.203768 ]]",
|
| 61 |
+
"observation": "[[ 0.01951982 0.3400423 -0.04250236 1.1780897 0.70364034 1.0891138 ]\n [ 0.17142089 -0.8453671 1.0826621 0.24968444 1.400847 -0.9799311 ]\n [ 0.24917096 0.54272 -0.44608924 -0.17676654 1.6097298 0.2229898 ]\n [ 0.74170125 -0.8437162 -0.6996623 -0.35746068 0.07781661 -1.7527679 ]]"
|
| 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": "[[ 0.00425892 0.11789486 0.13138266]\n [-0.07995182 0.00559362 0.21437748]\n [-0.09635143 -0.04052617 0.04801783]\n [ 0.03435725 -0.14765547 0.23521145]]",
|
| 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": 0.9770133333333333,
|
| 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": 1724,
|
| 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 44734
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ffa8f7c939d74a9a57867136a93c1be55e4a41534fd27da1d8307ee132a57a8
|
| 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 sha256:54e952b1fb5030b08587acaa397e7f1e5571344f254a4f909e86a9e76c40f002
|
| 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 0x7ff8949eb0d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7ff894a64630>"}, "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": 1250000, "_total_timesteps": 1250000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677344129234171346, "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": "[[ 0.4899978 -0.01461727 0.5841755 ]\n [ 0.4899978 -0.01461727 0.5841755 ]\n [ 0.4899978 -0.01461727 0.5841755 ]\n [ 0.4899978 -0.01461727 0.5841755 ]]", "desired_goal": "[[ 0.32122284 1.5291845 0.10647156]\n [-1.5004209 0.35192552 0.77584296]\n [-0.07505859 -0.7628226 0.5965181 ]\n [-1.3461684 -0.6242689 1.4603475 ]]", "observation": "[[ 0.4899978 -0.01461727 0.5841755 0.0155033 0.00320075 0.01505887]\n [ 0.4899978 -0.01461727 0.5841755 0.0155033 0.00320075 0.01505887]\n [ 0.4899978 -0.01461727 0.5841755 0.0155033 0.00320075 0.01505887]\n [ 0.4899978 -0.01461727 0.5841755 0.0155033 0.00320075 0.01505887]]"}, "_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": "[[ 0.01626986 -0.09733828 0.25020954]\n [-0.14324254 0.12139563 0.14142656]\n [-0.13602993 -0.05371502 0.29268593]\n [-0.1270332 -0.14392391 0.20204166]]", "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": 62500, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "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 0x7ff8949eb0d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7ff894a64630>"}, "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": 34492, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677348593333981589, "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": "[[ 0.01951982 0.3400423 -0.04250236]\n [ 0.17142089 -0.8453671 1.0826621 ]\n [ 0.24917096 0.54272 -0.44608924]\n [ 0.74170125 -0.8437162 -0.6996623 ]]", "desired_goal": "[[-0.23637082 0.31824097 -0.48496047]\n [ 0.84661674 -1.4570659 1.4520468 ]\n [ 0.6954103 1.548298 -1.0755886 ]\n [ 1.5387918 -1.6536138 -1.203768 ]]", "observation": "[[ 0.01951982 0.3400423 -0.04250236 1.1780897 0.70364034 1.0891138 ]\n [ 0.17142089 -0.8453671 1.0826621 0.24968444 1.400847 -0.9799311 ]\n [ 0.24917096 0.54272 -0.44608924 -0.17676654 1.6097298 0.2229898 ]\n [ 0.74170125 -0.8437162 -0.6996623 -0.35746068 0.07781661 -1.7527679 ]]"}, "_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": "[[ 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": "[[ 0.00425892 0.11789486 0.13138266]\n [-0.07995182 0.00559362 0.21437748]\n [-0.09635143 -0.04052617 0.04801783]\n [ 0.03435725 -0.14765547 0.23521145]]", "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": 0.9770133333333333, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1724, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
replay.mp4
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 sha256:4b446513b8adf6aa7c6c60fdd7a794a72cc2c5774a7ca05e5df6dc6d2019eb72
|
| 3 |
+
size 450631
|
results.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"mean_reward": -
|
|
|
|
| 1 |
+
{"mean_reward": -2.121243431721814, "std_reward": 0.6576312544105972, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-25T18:11:41.538105"}
|
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 sha256:972f0fdc6e1ee5439355f94e9dae33df71a339dfa02a43fc0941320e44f18446
|
| 3 |
size 3056
|