fermaat commited on
Commit
b65e6a7
1 Parent(s): 832c7d6

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: -2.97 +/- 0.95
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -1.73 +/- 0.78
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:a54e1d28309bafa94e9319805746877ca1820ad7fa6db2ee11f7955c18d6735e
3
- size 108059
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54f19fc1e4a83d44ed613c1bdfc236b565327d48dea58e85fc60c1d52f9d7a5a
3
+ size 108011
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": 1676025074315418896,
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": "[[ 0.4330549 -0.06884039 0.5921363 ]\n [ 0.4330549 -0.06884039 0.5921363 ]\n [ 0.4330549 -0.06884039 0.5921363 ]\n [ 0.4330549 -0.06884039 0.5921363 ]]",
60
- "desired_goal": "[[-0.23346238 -0.37195006 -0.7915503 ]\n [-0.10396123 0.55274993 0.28849557]\n [ 0.92654985 -0.54018486 0.35834098]\n [ 0.63507587 1.2348789 -1.6464878 ]]",
61
- "observation": "[[ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]\n [ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]\n [ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]\n [ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]]"
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": "[[ 5.0769908e-05 -4.7187280e-02 6.5342017e-02]\n [-9.7080879e-02 2.2684477e-02 1.8522079e-01]\n [ 6.2457738e-03 1.7357739e-02 1.5332027e-01]\n [-1.8913280e-02 -1.2039144e-03 2.4612552e-01]]",
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": 1676028510340286963,
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": "[[0.43815973 0.00804049 0.6041022 ]\n [0.43815973 0.00804049 0.6041022 ]\n [0.43815973 0.00804049 0.6041022 ]\n [0.43815973 0.00804049 0.6041022 ]]",
60
+ "desired_goal": "[[-0.21118526 0.4620945 1.578225 ]\n [-1.4039894 0.9764155 -1.6954529 ]\n [ 0.1872935 0.47804946 0.8006791 ]\n [ 0.35884655 1.1022236 -1.561251 ]]",
61
+ "observation": "[[ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]\n [ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]\n [ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]\n [ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]]"
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": "[[-0.11745377 0.04245447 0.01027947]\n [-0.12863714 0.13445659 0.04496181]\n [-0.03276516 0.0360154 0.13482939]\n [ 0.11706115 0.01216831 0.08183143]]",
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 sha256:6bc85a5f6d0126a4bbf7c9fb3de43b4299878bf499a56218cb11734848003478
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d6636ed3f0eec2d4887128ee4e080093801bfebf199ee37b00470f97defadc60
3
  size 44734
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:56818266d38175d47acefa787fba119b2a65e2a15bd5905f953e75f5bdee4cac
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d1169b2b8eb86876330d8132e71e0066ff881033eb4ba935a877fc885f52029
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 0x7f723e8d0ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f723e8cc900>"}, "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": 1676025074315418896, "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": "[[ 0.4330549 -0.06884039 0.5921363 ]\n [ 0.4330549 -0.06884039 0.5921363 ]\n [ 0.4330549 -0.06884039 0.5921363 ]\n [ 0.4330549 -0.06884039 0.5921363 ]]", "desired_goal": "[[-0.23346238 -0.37195006 -0.7915503 ]\n [-0.10396123 0.55274993 0.28849557]\n [ 0.92654985 -0.54018486 0.35834098]\n [ 0.63507587 1.2348789 -1.6464878 ]]", "observation": "[[ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]\n [ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]\n [ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]\n [ 0.4330549 -0.06884039 0.5921363 0.01022045 -0.00523316 -0.00168634]]"}, "_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": "[[ 5.0769908e-05 -4.7187280e-02 6.5342017e-02]\n [-9.7080879e-02 2.2684477e-02 1.8522079e-01]\n [ 6.2457738e-03 1.7357739e-02 1.5332027e-01]\n [-1.8913280e-02 -1.2039144e-03 2.4612552e-01]]", "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 0x7f723e8d0ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f723e8cc900>"}, "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": 1676028510340286963, "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": "[[0.43815973 0.00804049 0.6041022 ]\n [0.43815973 0.00804049 0.6041022 ]\n [0.43815973 0.00804049 0.6041022 ]\n [0.43815973 0.00804049 0.6041022 ]]", "desired_goal": "[[-0.21118526 0.4620945 1.578225 ]\n [-1.4039894 0.9764155 -1.6954529 ]\n [ 0.1872935 0.47804946 0.8006791 ]\n [ 0.35884655 1.1022236 -1.561251 ]]", "observation": "[[ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]\n [ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]\n [ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]\n [ 0.43815973 0.00804049 0.6041022 0.00605906 -0.00145279 -0.00770753]]"}, "_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": "[[-0.11745377 0.04245447 0.01027947]\n [-0.12863714 0.13445659 0.04496181]\n [-0.03276516 0.0360154 0.13482939]\n [ 0.11706115 0.01216831 0.08183143]]", "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"}}
replay.mp4 CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
1
- {"mean_reward": -2.9717004981124773, "std_reward": 0.9546339422933443, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-10T11:25:29.901824"}
 
1
+ {"mean_reward": -1.732558391848579, "std_reward": 0.7764321031629959, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-10T12:23:27.965944"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aa1a0e941a6675735f7d92fa39c58974e593f03048f8fcc43fd6a7bbe0409e40
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42aea1fac2f8c1d4ac81fefd74694138925fefd87f586f3e4fba2a20b9a2e77e
3
  size 3056