arenbeglaryan commited on
Commit
01f6767
1 Parent(s): 4698ecb

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: -4.13 +/- 2.11
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -4.82 +/- 2.21
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:e45fb5f0f737477a3deb84f31dcc4a2b843e444e078e2f1c8a75be5c54085e3b
3
- size 108090
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14b279611c9081f4a618c797f8fcde5079520bc96885c4a850994b0f08875ab2
3
+ size 108244
a2c-PandaReachDense-v2/data CHANGED
@@ -43,24 +43,24 @@
43
  "_np_random": null
44
  },
45
  "n_envs": 4,
46
- "num_timesteps": 2000000,
47
- "_total_timesteps": 2000000,
48
  "_num_timesteps_at_start": 0,
49
  "seed": null,
50
  "action_noise": null,
51
- "start_time": 1678097461247482018,
52
- "learning_rate": 0.00096,
53
  "tensorboard_log": null,
54
  "lr_schedule": {
55
  ":type:": "<class 'function'>",
56
- ":serialized:": "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"
57
  },
58
  "_last_obs": {
59
  ":type:": "<class 'collections.OrderedDict'>",
60
- ":serialized:": "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",
61
- "achieved_goal": "[[0.23053132 0.09189619 0.63706136]\n [0.23053132 0.09189619 0.63706136]\n [0.23053132 0.09189619 0.63706136]\n [0.23053132 0.09189619 0.63706136]]",
62
- "desired_goal": "[[-0.05645867 -0.67174417 -1.6434618 ]\n [ 0.7626248 -1.3942541 0.97564286]\n [ 1.1647317 1.2167028 -1.4884132 ]\n [-0.07771295 -0.96136475 1.5995545 ]]",
63
- "observation": "[[0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]\n [0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]\n [0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]\n [0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]]"
64
  },
65
  "_last_episode_starts": {
66
  ":type:": "<class 'numpy.ndarray'>",
@@ -68,9 +68,9 @@
68
  },
69
  "_last_original_obs": {
70
  ":type:": "<class 'collections.OrderedDict'>",
71
- ":serialized:": "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",
72
  "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]]",
73
- "desired_goal": "[[-0.09745727 -0.11716659 0.0717358 ]\n [ 0.07584675 0.13750376 0.18148957]\n [ 0.1118893 -0.01886392 0.22710474]\n [-0.04191016 -0.13767835 0.23019774]]",
74
  "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]]"
75
  },
76
  "_episode_num": 0,
@@ -79,14 +79,14 @@
79
  "_current_progress_remaining": 0.0,
80
  "ep_info_buffer": {
81
  ":type:": "<class 'collections.deque'>",
82
- ":serialized:": "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"
83
  },
84
  "ep_success_buffer": {
85
  ":type:": "<class 'collections.deque'>",
86
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
87
  },
88
- "_n_updates": 31250,
89
- "n_steps": 16,
90
  "gamma": 0.99,
91
  "gae_lambda": 0.9,
92
  "ent_coef": 0.0,
 
43
  "_np_random": null
44
  },
45
  "n_envs": 4,
46
+ "num_timesteps": 1000000,
47
+ "_total_timesteps": 1000000,
48
  "_num_timesteps_at_start": 0,
49
  "seed": null,
50
  "action_noise": null,
51
+ "start_time": 1678107601629294937,
52
+ "learning_rate": 0.0005,
53
  "tensorboard_log": null,
54
  "lr_schedule": {
55
  ":type:": "<class 'function'>",
56
+ ":serialized:": "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"
57
  },
58
  "_last_obs": {
59
  ":type:": "<class 'collections.OrderedDict'>",
60
+ ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA9jxVPrw5qbksUwY/9jxVPrw5qbksUwY/9jxVPrw5qbksUwY/9jxVPrw5qbksUwY/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAJFq4v3Hskz+0Kk2/7qiGv8F7Db8Yfc4+1Z4Cvj2VVj6Gp7A/BV29Pkh+179K9ts/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAD2PFU+vDmpuSxTBj+9A3Y8mP3CumisCT32PFU+vDmpuSxTBj+9A3Y8mP3CumisCT32PFU+vDmpuSxTBj+9A3Y8mP3CumisCT32PFU+vDmpuSxTBj+9A3Y8mP3CumisCT2UaA5LBEsGhpRoEnSUUpR1Lg==",
61
+ "achieved_goal": "[[ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]]",
62
+ "desired_goal": "[[-1.4402509 1.1556531 -0.80143285]\n [-1.0520303 -0.5526696 0.40329814]\n [-0.12755902 0.20955367 1.3801124 ]\n [ 0.3698503 -1.6835413 1.7184536 ]]",
63
+ "observation": "[[ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]]"
64
  },
65
  "_last_episode_starts": {
66
  ":type:": "<class 'numpy.ndarray'>",
 
68
  },
69
  "_last_original_obs": {
70
  ":type:": "<class 'collections.OrderedDict'>",
71
+ ":serialized:": "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",
72
  "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]]",
73
+ "desired_goal": "[[ 0.05278885 -0.08316813 0.06722453]\n [-0.01192655 0.10865656 0.2448897 ]\n [-0.06792582 -0.1046132 0.06978957]\n [-0.11709457 0.06164816 0.29514715]]",
74
  "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]]"
75
  },
76
  "_episode_num": 0,
 
79
  "_current_progress_remaining": 0.0,
80
  "ep_info_buffer": {
81
  ":type:": "<class 'collections.deque'>",
82
+ ":serialized:": "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"
83
  },
84
  "ep_success_buffer": {
85
  ":type:": "<class 'collections.deque'>",
86
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
87
  },
88
+ "_n_updates": 50000,
89
+ "n_steps": 5,
90
  "gamma": 0.99,
91
  "gae_lambda": 0.9,
92
  "ent_coef": 0.0,
a2c-PandaReachDense-v2/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:791cb6a637638b226d38a82c8760e44d051d736a52efbe5d8f1a76fd95351843
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:099abc91682b4425c0f37cfb375a265546263d5c6b064087489a90d729dc81bc
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:b1cefc4c30ca7d7e922f5048927fa39cc3838d37892f6ef61dccca6876afaedd
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1ce477c2ea2042144f4332c6a9ed977c96d38d372ea1c9dc0d6128157e4a769
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 0x7fa0e242a4c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fa0e241fcf0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678097461247482018, "learning_rate": 0.00096, "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": "[[0.23053132 0.09189619 0.63706136]\n [0.23053132 0.09189619 0.63706136]\n [0.23053132 0.09189619 0.63706136]\n [0.23053132 0.09189619 0.63706136]]", "desired_goal": "[[-0.05645867 -0.67174417 -1.6434618 ]\n [ 0.7626248 -1.3942541 0.97564286]\n [ 1.1647317 1.2167028 -1.4884132 ]\n [-0.07771295 -0.96136475 1.5995545 ]]", "observation": "[[0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]\n [0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]\n [0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]\n [0.23053132 0.09189619 0.63706136 0.04317757 0.00730208 0.04555748]]"}, "_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": "[[-0.09745727 -0.11716659 0.0717358 ]\n [ 0.07584675 0.13750376 0.18148957]\n [ 0.1118893 -0.01886392 0.22710474]\n [-0.04191016 -0.13767835 0.23019774]]", "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": 31250, "n_steps": 16, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "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 0x7fa0e242a4c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fa0e241fcf0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "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": 1678107601629294937, "learning_rate": 0.0005, "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": "[[ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01]]", "desired_goal": "[[-1.4402509 1.1556531 -0.80143285]\n [-1.0520303 -0.5526696 0.40329814]\n [-0.12755902 0.20955367 1.3801124 ]\n [ 0.3698503 -1.6835413 1.7184536 ]]", "observation": "[[ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]\n [ 2.0824036e-01 -3.2277207e-04 5.2470660e-01 1.5015540e-02\n -1.4876602e-03 3.3611685e-02]]"}, "_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": "[[ 0.05278885 -0.08316813 0.06722453]\n [-0.01192655 0.10865656 0.2448897 ]\n [-0.06792582 -0.1046132 0.06978957]\n [-0.11709457 0.06164816 0.29514715]]", "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": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "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
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
1
- {"mean_reward": -4.130294521152973, "std_reward": 2.111293325097257, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-06T11:43:58.738069"}
 
1
+ {"mean_reward": -4.821495248377323, "std_reward": 2.214625025976993, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-06T13:56:50.466410"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4d480d2c88cbc7772d886c3bdfffeba8e3a524e731efa15af03f520e794d52eb
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cd08761c001adcddd89842135fa806b1d797466e0a14b1cf92e89278dddee1f
3
  size 3056