mojoee commited on
Commit
3ffed84
1 Parent(s): 92af446

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: -16.80 +/- 5.81
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -1.37 +/- 0.40
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:e96030037ac35139b06c19df29d62e963bd00a65f440bc04a3ed22c55491b6c6
3
- size 108011
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b89ca8a587d8362f3dacc6ef2f310445ca98bba5b9a1cfe03ec9b0067b3a459b
3
+ size 107987
a2c-PandaReachDense-v2/data CHANGED
@@ -41,12 +41,12 @@
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
- "num_timesteps": 1000000,
45
  "_total_timesteps": 1000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1676273951457400134,
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": "[[0.3591348 0.15709448 0.15188313]\n [0.3591348 0.15709448 0.15188313]\n [0.3591348 0.15709448 0.15188313]\n [0.3591348 0.15709448 0.15188313]]",
60
- "desired_goal": "[[-0.48354805 -1.6900072 0.37256616]\n [-0.31056136 0.7510874 0.25304726]\n [ 0.8337244 -1.2411246 -0.798094 ]\n [-0.4413117 -1.279182 1.6858028 ]]",
61
- "observation": "[[ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]\n [ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]\n [ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]\n [ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
@@ -66,24 +66,24 @@
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": "[[ 0.01249819 0.1041077 0.0833797 ]\n [-0.11897144 0.10315263 0.04752425]\n [ 0.00266099 -0.05835807 0.03823763]\n [ 0.02556515 0.05756263 0.02182832]]",
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": 0.0,
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'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
- "_n_updates": 50000,
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": 58600,
45
  "_total_timesteps": 1000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
+ "start_time": 1676277947173200180,
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": "[[0.16759394 0.02942175 0.5591727 ]\n [0.16759394 0.02942175 0.5591727 ]\n [0.16759394 0.02942175 0.5591727 ]\n [0.16759394 0.02942175 0.5591727 ]]",
60
+ "desired_goal": "[[ 1.0809802 1.6905589 1.2510855 ]\n [ 0.99254364 -0.37771434 -1.7299047 ]\n [-0.4888833 -0.52747077 0.5155711 ]\n [ 0.20586519 -0.16017 1.2809895 ]]",
61
+ "observation": "[[0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]\n [0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]\n [0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]\n [0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]]"
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": "[[ 0.14969681 0.04412688 0.27402243]\n [ 0.08944668 0.13837308 0.19918172]\n [-0.06370288 -0.1319444 0.23275109]\n [-0.06058406 -0.04552721 0.0224589 ]]",
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": 0.9414,
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": 2929,
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:aef30fea52e0e47688995d5542efa00321e82d10621ca369b49524f452b1fe99
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb9459698477ec351895c56ec4c2ce782bf9436f7a6417a4fb87a499cc2bb2b7
3
  size 44734
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6739db06a419bfa62eb76495021e0407b2290d8a961703ac343a353fde79a6f0
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4fc525757a81426598fd711aaadb6d82972a39180a837fc1cd1ae1bf2ae70460
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 0x7fb0c053f700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fb0c05389f0>"}, "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": 1676273951457400134, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/RvAGjbi6x4WUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[0.3591348 0.15709448 0.15188313]\n [0.3591348 0.15709448 0.15188313]\n [0.3591348 0.15709448 0.15188313]\n [0.3591348 0.15709448 0.15188313]]", "desired_goal": "[[-0.48354805 -1.6900072 0.37256616]\n [-0.31056136 0.7510874 0.25304726]\n [ 0.8337244 -1.2411246 -0.798094 ]\n [-0.4413117 -1.279182 1.6858028 ]]", "observation": "[[ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]\n [ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]\n [ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]\n [ 0.3591348 0.15709448 0.15188313 0.04329287 0.02168059 -0.00807982]]"}, "_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": "[[ 0.01249819 0.1041077 0.0833797 ]\n [-0.11897144 0.10315263 0.04752425]\n [ 0.00266099 -0.05835807 0.03823763]\n [ 0.02556515 0.05756263 0.02182832]]", "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-glibc2.29 # 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": "1.21.6", "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 0x7fb0c053f700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fb0c05389f0>"}, "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": 58600, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1676277947173200180, "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": "[[0.16759394 0.02942175 0.5591727 ]\n [0.16759394 0.02942175 0.5591727 ]\n [0.16759394 0.02942175 0.5591727 ]\n [0.16759394 0.02942175 0.5591727 ]]", "desired_goal": "[[ 1.0809802 1.6905589 1.2510855 ]\n [ 0.99254364 -0.37771434 -1.7299047 ]\n [-0.4888833 -0.52747077 0.5155711 ]\n [ 0.20586519 -0.16017 1.2809895 ]]", "observation": "[[0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]\n [0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]\n [0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]\n [0.16759394 0.02942175 0.5591727 0.0361679 0.00427358 0.0487437 ]]"}, "_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": "[[ 0.14969681 0.04412688 0.27402243]\n [ 0.08944668 0.13837308 0.19918172]\n [-0.06370288 -0.1319444 0.23275109]\n [-0.06058406 -0.04552721 0.0224589 ]]", "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": 0.9414, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 2929, "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": "1.21.6", "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": -16.798690023645758, "std_reward": 5.813935058429232, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-13T08:34:24.207265"}
 
1
+ {"mean_reward": -1.3735308458795772, "std_reward": 0.3995680503049587, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-13T08:48:54.361670"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6358bb908a2573f07d63898e7a67b669597bcc999bf1bf1db3c1aa2b77033bf5
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fed2e43d4cc0563dd38afc6c434ae879800857fe58eeddb9982bfda3fc6e1036
3
  size 3056