Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -4.77 +/- 0.65
+      value: -2.12 +/- 0.61
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d5125786ed3c051710f1c45a00b941f36b5678e9709169747a4584d3bf5fefc
-size 108015
+oid sha256:63c0b36e80955af235e1f6761d39d5e3b38ca464f828f3248044a9da677fb8bb
+size 107991

a2c-PandaReachDense-v2/data

@@ -46,7 +46,7 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1680952384942783359,
+    "start_time": 1680956246622336654,
     "learning_rate": 0.0007,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -55,10 +55,10 @@
     },
     "_last_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA8ojLPi4UKz23LRc/8ojLPi4UKz23LRc/8ojLPi4UKz23LRc/8ojLPi4UKz23LRc/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAARbtGv9bRvz+yono/t9C4v/wQiD+DBZg/qfOov4ArdD+EUok9cqAxPr1g9j4wny0+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADyiMs+LhQrPbctFz8M3Fw7g3o6O+pDgrvyiMs+LhQrPbctFz8M3Fw7g3o6O+pDgrvyiMs+LhQrPbctFz8M3Fw7g3o6O+pDgrvyiMs+LhQrPbctFz8M3Fw7g3o6O+pDgruUaA5LBEsGhpRoEnSUUpR1Lg==",
-        "achieved_goal": "[[0.39752918 0.04176729 0.5905413 ]\n [0.39752918 0.04176729 0.5905413 ]\n [0.39752918 0.04176729 0.5905413 ]\n [0.39752918 0.04176729 0.5905413 ]]",
-        "desired_goal": "[[-0.776295    1.4985912   0.97904503]\n [-1.4438695   1.0630183   1.1876682 ]\n [-1.3199359   0.95378876  0.06705192]\n [ 0.17346361  0.4812068   0.16955256]]",
-        "observation": "[[ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]\n [ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]\n [ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]\n [ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]]"
+        ":serialized:": "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",
+        "achieved_goal": "[[0.39210564 0.04445676 0.60380286]\n [0.39210564 0.04445676 0.60380286]\n [0.39210564 0.04445676 0.60380286]\n [0.39210564 0.04445676 0.60380286]]",
+        "desired_goal": "[[-0.4804587   0.01562237 -0.3721543 ]\n [ 0.37127647  0.34640145 -0.1234735 ]\n [-1.4143555   1.0851089  -1.2375425 ]\n [-0.23555858  0.29648772 -1.1376806 ]]",
+        "observation": "[[0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]\n [0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]\n [0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]\n [0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]]"
     },
     "_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////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAASaoZPVkyFD6Uk2U+Y02zPQ066b0pL1c+bu3KvGLH+jwKwVo+w+MCvrT7h71GhpM+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": "[[ 0.03751591  0.14472331  0.22419578]\n [ 0.08754995 -0.11388025  0.21014084]\n [-0.02477142  0.03061265  0.21362701]\n [-0.12782197 -0.06639805  0.2881338 ]]",
+        "desired_goal": "[[-0.07863361 -0.12297346  0.02208909]\n [-0.06845504 -0.14217278  0.26497495]\n [-0.0829936  -0.0975952   0.08363828]\n [ 0.03508496  0.06251232  0.00547966]]",
         "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,
@@ -77,7 +77,7 @@
     "_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'>",

a2c-PandaReachDense-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b6ea08ac5fe1ece0da5d2cf2fcaebc3f32df83c265a8ab3ced634b494bb8c53
+oid sha256:530e78930a0aa258a4cbefc6713db65aee0cd1e0d0d302ad9e439d6b066540f1
 size 44734

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6cef79bd5614889c7fed4c9b0187419e2717c2181dfeed8b7a5839a58a961e7
+oid sha256:45b9920a0def2208b27f690189a97daf7c9e9bb11fc0cb61c9ca086f296b7967
 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 0x7f3784b898b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f3784b8b480>"}, "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": 1680952384942783359, "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": "[[0.39752918 0.04176729 0.5905413 ]\n [0.39752918 0.04176729 0.5905413 ]\n [0.39752918 0.04176729 0.5905413 ]\n [0.39752918 0.04176729 0.5905413 ]]", "desired_goal": "[[-0.776295    1.4985912   0.97904503]\n [-1.4438695   1.0630183   1.1876682 ]\n [-1.3199359   0.95378876  0.06705192]\n [ 0.17346361  0.4812068   0.16955256]]", "observation": "[[ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]\n [ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]\n [ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]\n [ 0.39752918  0.04176729  0.5905413   0.00337005  0.00284544 -0.00397538]]"}, "_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": "[[ 0.03751591  0.14472331  0.22419578]\n [ 0.08754995 -0.11388025  0.21014084]\n [-0.02477142  0.03061265  0.21362701]\n [-0.12782197 -0.06639805  0.2881338 ]]", "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-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "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 0x7f3784b898b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f3784b8b480>"}, "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": 1680956246622336654, "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": "[[0.39210564 0.04445676 0.60380286]\n [0.39210564 0.04445676 0.60380286]\n [0.39210564 0.04445676 0.60380286]\n [0.39210564 0.04445676 0.60380286]]", "desired_goal": "[[-0.4804587   0.01562237 -0.3721543 ]\n [ 0.37127647  0.34640145 -0.1234735 ]\n [-1.4143555   1.0851089  -1.2375425 ]\n [-0.23555858  0.29648772 -1.1376806 ]]", "observation": "[[0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]\n [0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]\n [0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]\n [0.39210564 0.04445676 0.60380286 0.00800459 0.00312197 0.00501757]]"}, "_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": "[[-0.07863361 -0.12297346  0.02208909]\n [-0.06845504 -0.14217278  0.26497495]\n [-0.0829936  -0.0975952   0.08363828]\n [ 0.03508496  0.06251232  0.00547966]]", "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-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -4.769173759873956, "std_reward": 0.6516173207631826, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-08T12:02:05.330351"}
+{"mean_reward": -2.116166287101805, "std_reward": 0.6073897101080272, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-08T13:06:51.013494"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:064b79069f722982b26af0242979953685489e2970cd1b807c9f94bcab950a9a
+oid sha256:578671a6ba456830677d1fbbb42bc054f25c846ee0a70c6b7ea7da3de86e9db5
 size 3056