Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -16.22 +/- 6.53
+      value: -1.72 +/- 0.51
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e98a8b56f11068d993e6095cb63b9c936bffcfdd9b54482bc0f6ef0bf256fc1e
-size 108012
+oid sha256:ee1b70bf9f62d1658ac4f8e9ac0b314ae518e47f9400b0c11c205b7e9e3b129e
+size 108009

a2c-PandaReachDense-v2/data

@@ -41,12 +41,12 @@
         "_np_random": null
     },
     "n_envs": 4,
-    "num_timesteps": 2000000,
-    "_total_timesteps": 2000000,
+    "num_timesteps": 800000,
+    "_total_timesteps": 800000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1674530969499720375,
+    "start_time": 1674536628003909827,
     "learning_rate": 0.0007,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -55,10 +55,10 @@
     },
     "_last_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
-        "achieved_goal": "[[0.54701835 0.00185039 0.6072663 ]\n [0.54701835 0.00185039 0.6072663 ]\n [0.54701835 0.00185039 0.6072663 ]\n [0.54701835 0.00185039 0.6072663 ]]",
-        "desired_goal": "[[-1.3529792  -1.2501471  -1.2236687 ]\n [-0.1186156   1.1605576  -1.4159042 ]\n [-0.00166656  0.79229236 -0.91273403]\n [ 0.6092135   0.28387716  0.21212152]]",
-        "observation": "[[ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]\n [ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]\n [ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]\n [ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]]"
+        ":serialized:": "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",
+        "achieved_goal": "[[0.46284595 0.02006623 0.5564573 ]\n [0.46284595 0.02006623 0.5564573 ]\n [0.46284595 0.02006623 0.5564573 ]\n [0.46284595 0.02006623 0.5564573 ]]",
+        "desired_goal": "[[ 1.2350593  -1.0665356   0.95904535]\n [-0.16080193 -0.8558158   0.69075024]\n [-1.5565166   0.6335122   1.6550859 ]\n [-0.36956206  1.7019622  -1.6614022 ]]",
+        "observation": "[[ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]\n [ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]\n [ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]\n [ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]]"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -66,9 +66,9 @@
     },
     "_last_original_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAf1MRvsmFkz3BsxU+ElCMPfCNAD2oJqw9haEBPsyA5L0RSkc9JVxEvV5o4b3F4Us+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==",
+        ":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": "[[-0.14192007  0.07203252  0.14619352]\n [ 0.0685121   0.03138536  0.08405811]\n [ 0.12659271 -0.11157379  0.04865462]\n [-0.04793944 -0.11006235  0.19910343]]",
+        "desired_goal": "[[ 0.03635139 -0.05023311  0.03671711]\n [-0.06307262 -0.1371606   0.2558703 ]\n [-0.13025421 -0.1425482   0.1741532 ]\n [ 0.02205419  0.1416828   0.05781977]]",
         "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,
@@ -77,13 +77,13 @@
     "_current_progress_remaining": 0.0,
     "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": 100000,
+    "_n_updates": 40000,
     "n_steps": 5,
     "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 sha256:472478ff5748fdb39902a570c070fe0e22d82f170f9bad2088c913c917a4084d
+oid sha256:265ffeb398f82c3e46e8fa95a6cc526169dc32455852224a76a8f2c4db7a0582
 size 44734

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8446669281a32842eecb3b7ec74e0eeda1a093ccf213d393142f5b8a964aade0
+oid sha256:1129443ee7a15bee1f8fea48079ba0767e1aebdd6030c52f94e1c8e9540e27a9
 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 0x7f1d9bdff3a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1d9bdf8b70>"}, "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:": "gAWVbQEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLA4WUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWDAAAAAAAAAAAAIC/AACAvwAAgL+UaApLA4WUjAFDlHSUUpSMBGhpZ2iUaBIolgwAAAAAAAAAAACAPwAAgD8AAIA/lGgKSwOFlGgVdJRSlIwNYm91bmRlZF9iZWxvd5RoEiiWAwAAAAAAAAABAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLA4WUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYDAAAAAAAAAAEBAZRoIUsDhZRoFXSUUpSMCl9ucF9yYW5kb22UTnViLg==", "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": 1674530969499720375, "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": "[[0.54701835 0.00185039 0.6072663 ]\n [0.54701835 0.00185039 0.6072663 ]\n [0.54701835 0.00185039 0.6072663 ]\n [0.54701835 0.00185039 0.6072663 ]]", "desired_goal": "[[-1.3529792  -1.2501471  -1.2236687 ]\n [-0.1186156   1.1605576  -1.4159042 ]\n [-0.00166656  0.79229236 -0.91273403]\n [ 0.6092135   0.28387716  0.21212152]]", "observation": "[[ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]\n [ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]\n [ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]\n [ 0.54701835  0.00185039  0.6072663   0.03123175 -0.00446329  0.01981485]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAf1MRvsmFkz3BsxU+ElCMPfCNAD2oJqw9haEBPsyA5L0RSkc9JVxEvV5o4b3F4Us+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[-0.14192007  0.07203252  0.14619352]\n [ 0.0685121   0.03138536  0.08405811]\n [ 0.12659271 -0.11157379  0.04865462]\n [-0.04793944 -0.11006235  0.19910343]]", "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": 100000, "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"}}
+{"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 0x7f1d9bdff3a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1d9bdf8b70>"}, "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": 800000, "_total_timesteps": 800000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1674536628003909827, "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": "[[0.46284595 0.02006623 0.5564573 ]\n [0.46284595 0.02006623 0.5564573 ]\n [0.46284595 0.02006623 0.5564573 ]\n [0.46284595 0.02006623 0.5564573 ]]", "desired_goal": "[[ 1.2350593  -1.0665356   0.95904535]\n [-0.16080193 -0.8558158   0.69075024]\n [-1.5565166   0.6335122   1.6550859 ]\n [-0.36956206  1.7019622  -1.6614022 ]]", "observation": "[[ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]\n [ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]\n [ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]\n [ 0.46284595  0.02006623  0.5564573  -0.01774024  0.00232377 -0.00206799]]"}, "_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": "[[ 0.03635139 -0.05023311  0.03671711]\n [-0.06307262 -0.1371606   0.2558703 ]\n [-0.13025421 -0.1425482   0.1741532 ]\n [ 0.02205419  0.1416828   0.05781977]]", "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:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIVFc+y/Mg/b+UhpRSlIwBbJRLMowBdJRHQJ9YtgLJCBx1fZQoaAZoCWgPQwhINez3xLr4v5SGlFKUaBVLMmgWR0CfWDxXnyNGdX2UKGgGaAloD0MIsmZkkLuI7r+UhpRSlGgVSzJoFkdAn1fKV6eGwnV9lChoBmgJaA9DCH7JxoMttgDAlIaUUpRoFUsyaBZHQJ9XVA7gbZR1fZQoaAZoCWgPQwg58kBkkab5v5SGlFKUaBVLMmgWR0CfWq41xbSrdX2UKGgGaAloD0MI0NIVbCOe/L+UhpRSlGgVSzJoFkdAn1o1ObiIcnV9lChoBmgJaA9DCChGlsyx3AHAlIaUUpRoFUsyaBZHQJ9Zw2jwhGJ1fZQoaAZoCWgPQwi/nUSEfxEEwJSGlFKUaBVLMmgWR0CfWUzguRLcdX2UKGgGaAloD0MIOBH92vop/L+UhpRSlGgVSzJoFkdAn1y29cry2HV9lChoBmgJaA9DCLzLRXwnZvK/lIaUUpRoFUsyaBZHQJ9cPlCCz1N1fZQoaAZoCWgPQwiiXYWUn7QIwJSGlFKUaBVLMmgWR0CfW8vQF9rodX2UKGgGaAloD0MIMbQ6OUOx87+UhpRSlGgVSzJoFkdAn1tVQhwEQ3V9lChoBmgJaA9DCDz3Hi45rgHAlIaUUpRoFUsyaBZHQJ9en20zCUJ1fZQoaAZoCWgPQwjaGhGMg0v9v5SGlFKUaBVLMmgWR0CfXiYU34sVdX2UKGgGaAloD0MI4BKAf0o1BsCUhpRSlGgVSzJoFkdAn12z2FnIyXV9lChoBmgJaA9DCI/k8h/SDwfAlIaUUpRoFUsyaBZHQJ9dPXumaYx1fZQoaAZoCWgPQwhqh78ma9QNwJSGlFKUaBVLMmgWR0CfYIwqiGnGdX2UKGgGaAloD0MINjrnpzhOAcCUhpRSlGgVSzJoFkdAn2ASrT6SDHV9lChoBmgJaA9DCBDn4QSmk/y/lIaUUpRoFUsyaBZHQJ9foD4gzP91fZQoaAZoCWgPQwgJiEm4kCcIwJSGlFKUaBVLMmgWR0CfXyoQFs55dX2UKGgGaAloD0MI+wYmN4rsB8CUhpRSlGgVSzJoFkdAn2JmhufmLnV9lChoBmgJaA9DCJdV2AxwQfe/lIaUUpRoFUsyaBZHQJ9h7iNsFdN1fZQoaAZoCWgPQwjBkNWtnhP9v5SGlFKUaBVLMmgWR0CfYX1R+BpYdX2UKGgGaAloD0MIjdR7Kqd9/b+UhpRSlGgVSzJoFkdAn2EHwLE1mHV9lChoBmgJaA9DCBgmUwWjcgXAlIaUUpRoFUsyaBZHQJ9kSJgsshB1fZQoaAZoCWgPQwjNHmgFhkwAwJSGlFKUaBVLMmgWR0CfY8+MqBmPdX2UKGgGaAloD0MIFqHYCpo2BcCUhpRSlGgVSzJoFkdAn2NdFz+3pnV9lChoBmgJaA9DCHLD76ZbFgjAlIaUUpRoFUsyaBZHQJ9i5mVZ9ux1fZQoaAZoCWgPQwgXKCmwAIYEwJSGlFKUaBVLMmgWR0CfZjf8MuvmdX2UKGgGaAloD0MI6fF7m/4sA8CUhpRSlGgVSzJoFkdAn2W+5OJtSHV9lChoBmgJaA9DCMcQABx7VgPAlIaUUpRoFUsyaBZHQJ9lTEJjUd91fZQoaAZoCWgPQwj7BFCMLJn+v5SGlFKUaBVLMmgWR0CfZNW7e2uxdX2UKGgGaAloD0MIhIB8CRUcBsCUhpRSlGgVSzJoFkdAn2hGS6lLvnV9lChoBmgJaA9DCPlp3JvfsP+/lIaUUpRoFUsyaBZHQJ9nzT/hl191fZQoaAZoCWgPQwjDvMeZJkwEwJSGlFKUaBVLMmgWR0CfZ1ru6VdHdX2UKGgGaAloD0MI5/9VR440+r+UhpRSlGgVSzJoFkdAn2bkxEfDDXV9lChoBmgJaA9DCGX+0TdpugrAlIaUUpRoFUsyaBZHQJ9ra2w3YL91fZQoaAZoCWgPQwhwI2WLpJ31v5SGlFKUaBVLMmgWR0CfavSHM2WIdX2UKGgGaAloD0MIoOBiRQ1m/r+UhpRSlGgVSzJoFkdAn2qEkKNQ03V9lChoBmgJaA9DCLfUQV4PZvy/lIaUUpRoFUsyaBZHQJ9qEAAAAAB1fZQoaAZoCWgPQwiG5c+3BYv1v5SGlFKUaBVLMmgWR0CfbpT6i0v5dX2UKGgGaAloD0MIONpxw+8GBcCUhpRSlGgVSzJoFkdAn24cmrsByXV9lChoBmgJaA9DCCIcs+xJwAfAlIaUUpRoFUsyaBZHQJ9trOmixml1fZQoaAZoCWgPQwjd71AU6JP9v5SGlFKUaBVLMmgWR0CfbTkFOfukdX2UKGgGaAloD0MIEcZP49788r+UhpRSlGgVSzJoFkdAn3G7sniNsHV9lChoBmgJaA9DCCNL5ljeFfq/lIaUUpRoFUsyaBZHQJ9xQ1dgOSZ1fZQoaAZoCWgPQwgZARWOINUEwJSGlFKUaBVLMmgWR0CfcNMgEEDAdX2UKGgGaAloD0MIK9mxEYjX8r+UhpRSlGgVSzJoFkdAn3Behwl0HXV9lChoBmgJaA9DCPkx5q4lpPm/lIaUUpRoFUsyaBZHQJ90/j1f3N91fZQoaAZoCWgPQwhjQzf7AyX6v5SGlFKUaBVLMmgWR0CfdIhV2icodX2UKGgGaAloD0MIZ0eq7/wi9L+UhpRSlGgVSzJoFkdAn3QXJYDDCXV9lChoBmgJaA9DCM0GmWTk7Pu/lIaUUpRoFUsyaBZHQJ9zoduHerN1fZQoaAZoCWgPQwiYGTbK+k0BwJSGlFKUaBVLMmgWR0CfeCHeaa1DdX2UKGgGaAloD0MIhV/q503F+L+UhpRSlGgVSzJoFkdAn3epYs/Y8XV9lChoBmgJaA9DCMK9Mm/V9f6/lIaUUpRoFUsyaBZHQJ93N/ZuhsZ1fZQoaAZoCWgPQwiQ2Vn0ToUCwJSGlFKUaBVLMmgWR0CfdsKuSwGGdX2UKGgGaAloD0MIHF97ZkmAB8CUhpRSlGgVSzJoFkdAn3ssHWz4UXV9lChoBmgJaA9DCNY3MLlRZP6/lIaUUpRoFUsyaBZHQJ96s/KQq7R1fZQoaAZoCWgPQwiD34YYrzn1v5SGlFKUaBVLMmgWR0CfekJwsGxEdX2UKGgGaAloD0MIW0QUkzcA+7+UhpRSlGgVSzJoFkdAn3nMtK7I1nV9lChoBmgJaA9DCFvvN9pxAwPAlIaUUpRoFUsyaBZHQJ99J9KEnLJ1fZQoaAZoCWgPQwg3VffI5goFwJSGlFKUaBVLMmgWR0CffK7Dl5nldX2UKGgGaAloD0MIHlIMkGjCAcCUhpRSlGgVSzJoFkdAn3w9BF/hEXV9lChoBmgJaA9DCI21v7M9evi/lIaUUpRoFUsyaBZHQJ97xkFwDNh1fZQoaAZoCWgPQwg10lJ5O4L4v5SGlFKUaBVLMmgWR0Cffv9Oh0yQdX2UKGgGaAloD0MIImx4eqVsBcCUhpRSlGgVSzJoFkdAn36GEbo8p3V9lChoBmgJaA9DCOWYLO4/0gTAlIaUUpRoFUsyaBZHQJ9+FBdD6WR1fZQoaAZoCWgPQwiMhLacS9EAwJSGlFKUaBVLMmgWR0CffZ1SflIVdX2UKGgGaAloD0MI3IMQkC+BAcCUhpRSlGgVSzJoFkdAn4EAOz6acHV9lChoBmgJaA9DCJuvko/dhf2/lIaUUpRoFUsyaBZHQJ+AhusLfDV1fZQoaAZoCWgPQwjkhXR4COP+v5SGlFKUaBVLMmgWR0CfgBRaX8fndX2UKGgGaAloD0MIxxFr8SlgAsCUhpRSlGgVSzJoFkdAn3+elKsdUHV9lChoBmgJaA9DCNV6v9GOWwDAlIaUUpRoFUsyaBZHQJ+DFdY4hll1fZQoaAZoCWgPQwiq04GspzYBwJSGlFKUaBVLMmgWR0CfgpzijtXxdX2UKGgGaAloD0MIBmUaTS7G9r+UhpRSlGgVSzJoFkdAn4IqxTsIFHV9lChoBmgJaA9DCEsDP6phP/i/lIaUUpRoFUsyaBZHQJ+BtjRUm2N1fZQoaAZoCWgPQwg+INCZtKn9v5SGlFKUaBVLMmgWR0CfhOphWo3rdX2UKGgGaAloD0MIpREz+zzG+L+UhpRSlGgVSzJoFkdAn4RxNM495nV9lChoBmgJaA9DCNobfGEylfa/lIaUUpRoFUsyaBZHQJ+D/r9l2/11fZQoaAZoCWgPQwj8/zhhwqgEwJSGlFKUaBVLMmgWR0Cfg4gWac7RdX2UKGgGaAloD0MI/yH99nWg+L+UhpRSlGgVSzJoFkdAn4a/i1iON3V9lChoBmgJaA9DCAD9vn/zovm/lIaUUpRoFUsyaBZHQJ+GRsO5J9R1fZQoaAZoCWgPQwjQ0D/BxYr3v5SGlFKUaBVLMmgWR0CfhdTz/ZM+dX2UKGgGaAloD0MIP1OvWwTGAMCUhpRSlGgVSzJoFkdAn4VfAKv3anV9lChoBmgJaA9DCCRGzy10Jfe/lIaUUpRoFUsyaBZHQJ+I1WsA/9p1fZQoaAZoCWgPQwhZwARu3Y34v5SGlFKUaBVLMmgWR0CfiF3EyckMdX2UKGgGaAloD0MIZoUi3c+p/b+UhpRSlGgVSzJoFkdAn4frIgeRxXV9lChoBmgJaA9DCBA9KZMaOgDAlIaUUpRoFUsyaBZHQJ+HdKNAC4l1fZQoaAZoCWgPQwhvgJnv4IcAwJSGlFKUaBVLMmgWR0CfiuBlMAWBdX2UKGgGaAloD0MIIcuCiT+K8L+UhpRSlGgVSzJoFkdAn4pnDBMzuXV9lChoBmgJaA9DCASPb+8aNPG/lIaUUpRoFUsyaBZHQJ+J9PXTVlR1fZQoaAZoCWgPQwg7b2OzI9X+v5SGlFKUaBVLMmgWR0CfiX4vvjOtdX2UKGgGaAloD0MIxT2WPnSB/L+UhpRSlGgVSzJoFkdAn4zC1/lQuXV9lChoBmgJaA9DCNIYraOqif2/lIaUUpRoFUsyaBZHQJ+MSax5cC51fZQoaAZoCWgPQwi77q1ITFD1v5SGlFKUaBVLMmgWR0Cfi9gTh5xBdX2UKGgGaAloD0MIaykg7X+ABcCUhpRSlGgVSzJoFkdAn4tiKR+z+nV9lChoBmgJaA9DCCtPIOwU6/S/lIaUUpRoFUsyaBZHQJ+OrG3nZCh1fZQoaAZoCWgPQwjJObGH9vH4v5SGlFKUaBVLMmgWR0CfjjN34bjtdX2UKGgGaAloD0MIFOgTeZJ07b+UhpRSlGgVSzJoFkdAn43BEa2nbnV9lChoBmgJaA9DCKETQgddQvu/lIaUUpRoFUsyaBZHQJ+NSnUDuBt1ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 40000, "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"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -16.218945393525065, "std_reward": 6.5302045147682675, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-24T05:01:17.836088"}
+{"mean_reward": -1.7192368950229138, "std_reward": 0.5081103290026459, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-24T05:37:30.603845"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d002a4d156d9f5d8570780023ae7df85510fcb0b38d9a24aa256f47788894c4
+oid sha256:549cf1aea030c2a39af65493eff3dbaf8968cc8e6061d4926d065753cef56d59
 size 3056