Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -9.75 +/- 1.90
+      value: -7.36 +/- 1.65
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b684a1e03a3a67de1f60160e98b1b9a17412c23087eff1953f6fd02928d9a489
-size 108226
+oid sha256:dd13d84128b6da63a250dabbb6634b066b02805df377c52d484b6f08e3e91f76
+size 108208

a2c-PandaReachDense-v2/data

@@ -41,12 +41,12 @@
         "_np_random": null
     },
     "n_envs": 4,
-    "num_timesteps": 12000000,
-    "_total_timesteps": 10000000,
+    "num_timesteps": 4000000,
+    "_total_timesteps": 2000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1675151236208963647,
+    "start_time": 1675177648567920907,
     "learning_rate": 1e-05,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -55,10 +55,10 @@
     },
     "_last_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
-        "achieved_goal": "[[ 0.6681692  -0.00389559  1.9756781 ]\n [ 0.6681692  -0.00389559  1.9756781 ]\n [ 0.6681692  -0.00389559  1.9756781 ]\n [ 0.6681692  -0.00389559  1.9756781 ]]",
-        "desired_goal": "[[ 1.4697025   0.26782367 -0.18459582]\n [-0.31033102  1.7084308  -0.5192615 ]\n [-1.441281    0.34111196 -1.4985949 ]\n [ 1.352637   -1.6748636  -1.117999  ]]",
-        "observation": "[[ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]\n [ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]\n [ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]\n [ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]]"
+        ":serialized:": "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",
+        "achieved_goal": "[[ 0.67098236 -0.00405313  1.9796576 ]\n [ 0.67098236 -0.00405313  1.9796576 ]\n [ 0.67098236 -0.00405313  1.9796576 ]\n [ 0.67098236 -0.00405313  1.9796576 ]]",
+        "desired_goal": "[[-0.06280144 -1.4699233   0.51234555]\n [-0.6606166  -1.2020546  -1.0313845 ]\n [ 0.10712124  0.7639922  -1.1112465 ]\n [-1.2846415  -1.6127933  -0.6711877 ]]",
+        "observation": "[[ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]\n [ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]\n [ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]\n [ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]]"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -66,24 +66,24 @@
     },
     "_last_original_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
+        ":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": "[[-0.11705852 -0.12773725  0.10529428]\n [ 0.08664943 -0.06107678  0.2951483 ]\n [ 0.07319931  0.02089732  0.07484057]\n [-0.10861228 -0.11916648  0.02610327]]",
+        "desired_goal": "[[ 0.03063067  0.13468231  0.22774881]\n [-0.08893576  0.10059641  0.20100865]\n [-0.09368098  0.03516592  0.24510863]\n [-0.00965296 -0.03366044  0.16182967]]",
         "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": -0.19999999999999996,
+    "_current_progress_remaining": -1.0,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 3,
+    "_n_updates": 1,
     "n_steps": 1000000,
     "gamma": 0.99,
     "gae_lambda": 1.0,

a2c-PandaReachDense-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72745cc389aca90c5326d0c43286977f1e5a2cad92b42889c32c951fe2c736ed
+oid sha256:e351ad5dfc3b8ba2243933beb5f1e0222ce6f4d9fb0c26763619d8061a5b846b
 size 44734

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2ccf934316cf880df24363fb027e29ae6a40200324528cd4f6e77ced27eb3aa
+oid sha256:6a8a61de186dc3c7173daec37fc159bec9af19b93871a27ea8f577448ba84e9e
 size 46014

config.json

@@ -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 0x7f3f38dcaee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f3f38dc5f30>"}, "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": 12000000, "_total_timesteps": 10000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1675151236208963647, "learning_rate": 1e-05, "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": "[[ 0.6681692  -0.00389559  1.9756781 ]\n [ 0.6681692  -0.00389559  1.9756781 ]\n [ 0.6681692  -0.00389559  1.9756781 ]\n [ 0.6681692  -0.00389559  1.9756781 ]]", "desired_goal": "[[ 1.4697025   0.26782367 -0.18459582]\n [-0.31033102  1.7084308  -0.5192615 ]\n [-1.441281    0.34111196 -1.4985949 ]\n [ 1.352637   -1.6748636  -1.117999  ]]", "observation": "[[ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]\n [ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]\n [ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]\n [ 6.68169200e-01 -3.89558612e-03  1.97567809e+00  1.24191932e-01\n  -6.00935949e-04  1.16216145e-01]]"}, "_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": "[[-0.11705852 -0.12773725  0.10529428]\n [ 0.08664943 -0.06107678  0.2951483 ]\n [ 0.07319931  0.02089732  0.07484057]\n [-0.10861228 -0.11916648  0.02610327]]", "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": -0.19999999999999996, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 3, "n_steps": 1000000, "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-5.15.0-58-generic-x86_64-with-glibc2.17 # 64~20.04.1-Ubuntu SMP Fri Jan 6 16:42:31 UTC 2023", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
+{"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 0x7f3f38dcaee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f3f38dc5f30>"}, "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:": "gAWVUgMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUaBCTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZSMAUOUdJRSlIwEaGlnaJRoHSiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBVLA4WUaCB0lFKUjA1ib3VuZGVkX2JlbG93lGgdKJYDAAAAAAAAAAEBAZRoEowCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIHSUUpSMDWJvdW5kZWRfYWJvdmWUaB0olgMAAAAAAAAAAQEBlGgsSwOFlGggdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBVoGEsDhZRoGmgdKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZRoIHSUUpRoI2gdKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFUsDhZRoIHSUUpRoKGgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoMmgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoN051YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgVaBhLBoWUaBpoHSiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBVLBoWUaCB0lFKUaCNoHSiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBVLBoWUaCB0lFKUaChoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDJoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDdOdWJ1aBhOaBBOaDdOdWIu", "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": 4000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1675177648567920907, "learning_rate": 1e-05, "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": "[[ 0.67098236 -0.00405313  1.9796576 ]\n [ 0.67098236 -0.00405313  1.9796576 ]\n [ 0.67098236 -0.00405313  1.9796576 ]\n [ 0.67098236 -0.00405313  1.9796576 ]]", "desired_goal": "[[-0.06280144 -1.4699233   0.51234555]\n [-0.6606166  -1.2020546  -1.0313845 ]\n [ 0.10712124  0.7639922  -1.1112465 ]\n [-1.2846415  -1.6127933  -0.6711877 ]]", "observation": "[[ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]\n [ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]\n [ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]\n [ 6.70982361e-01 -4.05313401e-03  1.97965765e+00  1.24661647e-01\n  -1.05885207e-03  1.16095185e-01]]"}, "_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": "[[ 0.03063067  0.13468231  0.22774881]\n [-0.08893576  0.10059641  0.20100865]\n [-0.09368098  0.03516592  0.24510863]\n [-0.00965296 -0.03366044  0.16182967]]", "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": -1.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1, "n_steps": 1000000, "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-5.15.0-58-generic-x86_64-with-glibc2.17 # 64~20.04.1-Ubuntu SMP Fri Jan 6 16:42:31 UTC 2023", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -9.745632642507553, "std_reward": 1.8970598634473315, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-31T10:05:39.556195"}
+{"mean_reward": -7.3569778829813, "std_reward": 1.6495665617354247, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-31T11:55:32.029623"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebf270d42b4a3875f52d948b3146a6b02edceef825b4644fb76dcf2b5e1f4c86
+oid sha256:a944e3987be5f64b6aed9c227959c4de579a7f95854a3e35aead83b15f61b131
 size 3056