artbreguez commited on
Commit
305228b
1 Parent(s): 5fe864a

Initial commit

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
- value: -6.01 +/- 1.95
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -2.65 +/- 0.67
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 sha256:84e73c039dfc7de0e7582ee3966eca47b89d30d60d173f88351eee28d925a233
3
- size 107837
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:822afdcbe1540df5037a7cd795e56ad6d23208b807d25342af40dc33f6c43abb
3
+ size 107849
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": 1679965600868244524,
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:": "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",
59
- "achieved_goal": "[[0.41017896 0.00904875 0.60888505]\n [0.41017896 0.00904875 0.60888505]\n [0.41017896 0.00904875 0.60888505]\n [0.41017896 0.00904875 0.60888505]]",
60
- "desired_goal": "[[ 0.92442995 -0.7443006 1.099162 ]\n [-0.24231255 -1.330843 0.9454774 ]\n [ 0.5148546 -0.88853174 -0.6547416 ]\n [-1.538829 1.0599183 1.3751316 ]]",
61
- "observation": "[[ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]\n [ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]\n [ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]\n [ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]]"
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:": "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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": "[[ 0.04776872 -0.01834667 0.11753256]\n [-0.05106364 0.07979459 0.24173422]\n [ 0.11978301 0.06579687 0.03015974]\n [-0.08646074 0.04905992 0.03020888]]",
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:": "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"
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": 1679967694398318434,
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": "[[ 0.43869147 -0.01872279 0.554765 ]\n [ 0.43869147 -0.01872279 0.554765 ]\n [ 0.43869147 -0.01872279 0.554765 ]\n [ 0.43869147 -0.01872279 0.554765 ]]",
60
+ "desired_goal": "[[-0.21826008 1.4251103 -1.1620448 ]\n [-1.5077002 1.3256649 0.9127201 ]\n [-0.03082727 0.613692 1.3908594 ]\n [ 1.3762791 -0.91615427 1.1797878 ]]",
61
+ "observation": "[[ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]\n [ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]\n [ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]\n [ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]]"
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": "[[ 0.14168021 -0.13391685 0.19844924]\n [-0.06508074 -0.09876032 0.28827772]\n [-0.14382751 -0.01613201 0.29895663]\n [-0.12688006 0.02383814 0.26425377]]",
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 sha256:75a223c235040a63f06dba79d4540ab2f66fbe7a49075ba977cb9627e5a6b327
3
  size 44606
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdf51ccb3816367986a3c2ab788b046eff11b95bb9d844f02edaff56b9c3a747
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:e015711be1fe5dd180bee0113589db7cee8fcda801328d48269f45620b8e3e3a
3
  size 45886
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72a721709e63907583193b304d872ba085a5aa30eb5423b7d2febefcb4291efe
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 0x7f3b53a47c70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f3b53a42440>"}, "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": 1679965600868244524, "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": "[[0.41017896 0.00904875 0.60888505]\n [0.41017896 0.00904875 0.60888505]\n [0.41017896 0.00904875 0.60888505]\n [0.41017896 0.00904875 0.60888505]]", "desired_goal": "[[ 0.92442995 -0.7443006 1.099162 ]\n [-0.24231255 -1.330843 0.9454774 ]\n [ 0.5148546 -0.88853174 -0.6547416 ]\n [-1.538829 1.0599183 1.3751316 ]]", "observation": "[[ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]\n [ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]\n [ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]\n [ 0.41017896 0.00904875 0.60888505 0.00797754 -0.00727917 0.01702688]]"}, "_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": "[[ 0.04776872 -0.01834667 0.11753256]\n [-0.05106364 0.07979459 0.24173422]\n [ 0.11978301 0.06579687 0.03015974]\n [-0.08646074 0.04905992 0.03020888]]", "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-5.19.0-35-generic-x86_64-with-glibc2.35 # 36~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Feb 17 15:17:25 UTC 2", "Python": "3.10.6", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu117", "GPU Enabled": "False", "Numpy": "1.24.2", "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 0x7f3b53a47c70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f3b53a42440>"}, "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:": "gAWVcwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLA4WUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWDAAAAAAAAAAAAIC/AACAvwAAgL+UaAtLA4WUjAFDlHSUUpSMBGhpZ2iUaBMolgwAAAAAAAAAAACAPwAAgD8AAIA/lGgLSwOFlGgWdJRSlIwNYm91bmRlZF9iZWxvd5RoEyiWAwAAAAAAAAABAQGUaAiMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLA4WUaBZ0lFKUjA1ib3VuZGVkX2Fib3ZllGgTKJYDAAAAAAAAAAEBAZRoIksDhZRoFnSUUpSMCl9ucF9yYW5kb22UTnViLg==", "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": 1679967694398318434, "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": "[[ 0.43869147 -0.01872279 0.554765 ]\n [ 0.43869147 -0.01872279 0.554765 ]\n [ 0.43869147 -0.01872279 0.554765 ]\n [ 0.43869147 -0.01872279 0.554765 ]]", "desired_goal": "[[-0.21826008 1.4251103 -1.1620448 ]\n [-1.5077002 1.3256649 0.9127201 ]\n [-0.03082727 0.613692 1.3908594 ]\n [ 1.3762791 -0.91615427 1.1797878 ]]", "observation": "[[ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]\n [ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]\n [ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]\n [ 0.43869147 -0.01872279 0.554765 0.00526458 -0.00059286 -0.0010402 ]]"}, "_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": "[[ 0.14168021 -0.13391685 0.19844924]\n [-0.06508074 -0.09876032 0.28827772]\n [-0.14382751 -0.01613201 0.29895663]\n [-0.12688006 0.02383814 0.26425377]]", "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-5.19.0-35-generic-x86_64-with-glibc2.35 # 36~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Feb 17 15:17:25 UTC 2", "Python": "3.10.6", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu117", "GPU Enabled": "False", "Numpy": "1.24.2", "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": -6.007351356837899, "std_reward": 1.950959798952044, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-27T22:38:42.157288"}
 
1
+ {"mean_reward": -2.648719384893775, "std_reward": 0.6707567583851264, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-27T23:10:23.959914"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0bd098c5e9909650589a9a567afe3f864bc2a2d0050db5dda805803cb1b41a3d
3
  size 3117
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a57a57d89d76e775b3af7a0faab3d116288dfc3f9b9dcb823b2394c9a695397f
3
  size 3117