Pushing the 2nd version of Lunar lander RL model to HF Hub

Lunar_Lander_VSrinivas.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69c07326ce6acf410222df3c19a5cf71ee185c9d9f26cfcceb7cfbe8d613cea2
-size 148630
+oid sha256:c8dc60b7ee8281409dc8581bb5159d7142b27bcb2de8d5fb7b50a549bda293f3
+size 148734

Lunar_Lander_VSrinivas/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 3014656,
-    "_total_timesteps": 3000000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1702048300225762188,
+    "start_time": 1702052705878729935,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -41,17 +41,17 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.004885333333333408,
+    "_current_progress_remaining": -0.015808000000000044,
     "_stats_window_size": 100,
     "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": 368,
+    "_n_updates": 248,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -84,7 +84,7 @@
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "batch_size": 32,
-    "n_epochs": 4,
+    "n_epochs": 8,
     "clip_range": {
         ":type:": "<class 'function'>",
         ":serialized:": "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"

Lunar_Lander_VSrinivas/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e37b95e9056b9befd03c3a5164fc5a802f2cfaaa917543e475eeb26297d1900c
+oid sha256:c382754afa3ddb0eecb0fbfc72331443cefb7036e5744a65c57e628d1361eb77
 size 88362

Lunar_Lander_VSrinivas/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:33e318a2be5a88900d63aa7a6ace3207e7029c5017bbf7b34b974d5c911a1ca2
+oid sha256:7ab15588dd180875b22a7ed8c607f9242b9c083736aef08a128d9e4acddc0a77
 size 43762

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 273.84 +/- 27.59
+      value: 276.44 +/- 18.22
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
-{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    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\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: Features extractor to use.\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 ActorCriticPolicy.__init__ at 0x7c3e26aab880>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c3e26aab910>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c3e26aab9a0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c3e26aaba30>", "_build": "<function ActorCriticPolicy._build at 0x7c3e26aabac0>", "forward": "<function ActorCriticPolicy.forward at 0x7c3e26aabb50>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c3e26aabbe0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c3e26aabc70>", "_predict": "<function ActorCriticPolicy._predict at 0x7c3e26aabd00>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c3e26aabd90>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c3e26aabe20>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c3e26aabeb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c3e26a52a80>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 3014656, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1702048300225762188, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQQAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYABAAAAAAAAJqOVL2S1ug8ldy8PR6rh75f7aa8r0fGPAAAAAAAAAAATaS/vSvyZD+NBuM9nK0Ivz+nw72GeBw+AAAAAAAAAADmeI2991m5P7oTCL/KshS8MbPVvPZhWL4AAAAAAAAAAA2yfb7XwEE/hqgpPbUw5r6iiIm+Pmj7PQAAAAAAAAAAM+zIvPbHKzs6WA2+7sEavs6WxLzfRYk/AAAAAAAAAAAmAr4+KTR4P0OUcD4WkA+/2f0HP7Z0Ez0AAAAAAAAAAOC0Cj4sUGw/YZA5PhB/DL89aoI+4l6DPQAAAAAAAAAAjTK/PfMYuT9iOt8+x8MzvgNbGbwLAO09AAAAAAAAAAAAoHq8XFNzulYfLjq5jo61eH6sujysSrkAAIA/AACAP2aOSTzXY2U4xO65sxVjsC+L9647boO7MwAAgD8AAIA/gLdkvUo0XD92cBW9Hx0Cv/Bbq73FtVC8AAAAAAAAAACzMxS9SnclPs7O4D182aq+oCwoO6A1tjwAAAAAAAAAAJr9aD16IiA+hbxTvm56a758l8G9HPaEvQAAAAAAAAAAGos/Pa0ImT+m8CE+hM8avw0QYz0WSOs9AAAAAAAAAABmkv87p6k6P/8jAjz/wPC+HXnGPMZhL7sAAAAAAAAAADMF1Dws1lE+Xj/AvSOXvb6A38u9CrtOOwAAAAAAAAAAmpkHuCn4b7q2/O24s6qVszI7tLqv0go4AACAPwAAgD+AbBo9XMNsuis5YrLWxvKuJLIduW5gvTIAAIA/AACAP+71j772kCe8plKANPSkyTIhDJs98oALtAAAgD8AAIA/TRZGPSvKsj7gKy28tKOsvmPXLD1+0Ha9AAAAAAAAAACgtSe+uPelPw1Lxr7v3xS/9XyVvl0P470AAAAAAAAAAADw3bw6Np8/uwDAvRN5E7/GUzO9WhefvAAAAAAAAAAAMyy+vDlvGD9D9Og9k4XRvjg20jq7x949AAAAAAAAAAANw6o9BbKpu4DG8jrLe5s8OFUQvfqCgz0AAIA/AACAP2qq775Vrcq90Fe8vs/tXL26pYy+hlXkvgAAgD8AAIA/LcsmvnTqID+B2Kk+JbDfvppvMb37HlU+AAAAAAAAAADNhgE8cWULu9ZBHjzNlNw756/WuzMuPLwAAIA/AACAP81GR7yuzZ26CWQAM8Rz6zDj1M46ScuTswAAgD8AAIA/AKuyPc96mz9wINE+Y7givy2NCj6DqIU+AAAAAAAAAABmXoW8aQ8BvK+VODvvd6g81DZkvYDoiz0AAIA/AACAP5pt8jtJX7g/BW1/Pg0x0j5USQq8rehkvQAAAAAAAAAAE4OiPmfmLz/kkoq+SQEHvxnDrT6ploK+AAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSyBLCIaUjAFDlHSUUpQu"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.004885333333333408, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 368, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True  True  True  True  True]", "bounded_above": "[ True  True  True  True  True  True  True  True]", "_shape": [8], "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 32, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 32, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu118", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
+{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    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\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: Features extractor to use.\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 ActorCriticPolicy.__init__ at 0x7c3e26aab880>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c3e26aab910>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c3e26aab9a0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c3e26aaba30>", "_build": "<function ActorCriticPolicy._build at 0x7c3e26aabac0>", "forward": "<function ActorCriticPolicy.forward at 0x7c3e26aabb50>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c3e26aabbe0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c3e26aabc70>", "_predict": "<function ActorCriticPolicy._predict at 0x7c3e26aabd00>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c3e26aabd90>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c3e26aabe20>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c3e26aabeb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c3e26a52a80>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1702052705878729935, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQQAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYABAAAAAAAAOYsJL32dEa6G90nO4EqaTgXdES7zPnLuQAAgD8AAIA/mr2VuxT2g7rv9o65QSiEtJF+GruLp6Y4AACAPwAAgD8AwI+6H7W6uYgSfzxPF+G1Sc8au1NX2LQAAIA/AACAP/Pn3b0K0KY/1sMfvyoj/74gQjK9swmDvgAAAAAAAAAAM6+LvClMRrpV1km7CScltrTWbru4sGk6AACAPwAAgD/Nn8G84TSbusJGEDqxziY27n5hOsjEJrkAAIA/AACAP828FzzDdX26EMvrurUP+LUcPAe7qccJOgAAgD8AAIA/MxHnPFz7E7pdPlk6aSU5tgQDKblzpn25AACAPwAAgD/N4Ns7w4FQurk/gTtP1GE2W2GAOiqCmLoAAIA/AACAP2YmTbyPLjy66WzCO26MnTh/P2e6g8d0ugAAgD8AAIA/wNuyPSlgd7rCWuY6lchutkyfmzqnhRK6AAAAAAAAgD8ANi88KdBeutn3rjsmLko3MBWgOgSWPDYAAIA/AACAP81lMb1Ih5O6qLlgMiSdhDDdFrG6qae8sgAAgD8AAIA/szZgPXtOgroyqkA7oj/6NcTrkzn6tmC6AACAPwAAgD8z8Ra8KWgtupbP5LobXoS2egJRuvPiBDoAAIA/AACAP4DLOr17+qK66IxmOkY3UzUtVKY5W6aEuQAAgD8AAIA/WuM0vtgCrD52Ezc+La6yvtaQ8jyaWvE9AAAAAAAAAACzUHs9gG+oPiCO6b0y/q6+kR9OveTEkL0AAAAAAAAAABqWTj32dFK6yY2vutTrErb37tC5XZmHNQAAgD8AAIA/MyW0vOypjrnRgjm4CY8Gs4eYaDoDQFc3AAAAAAAAgD/mrIU9rqOOuuLqNLggPCqzsN3mOjgVUjcAAIA/AACAP8Bxkr3hTIa6snuWOjqNhTW47jy7eEuvuQAAgD8AAIA/M425PK7VkroohxQ8IVCCPCjXzDna02O9AACAPwAAgD8AyZS9KURcPwurf73x1wm/5fg1vZJNh7wAAAAAAAAAAM0uSjwpSCO6Z7eIudfVR7Q9bOO63gidOAAAgD8AAIA/TfSvvfZQAbr1js06/vWANYWo7DoG1ey5AACAPwAAgD+aVd474Yyjukngh7urQM222Pm7OlZcnDoAAIA/AACAPwCY1jwDT3y8gs6yO+oelTyHZfY9c9tvvQAAgD8AAIA/mikJva5FmLpDmmu7PgE+tjZtqLoPNIg6AACAPwAAgD8mEdK9XNNWugYNgjmN5Xs0kPYhuu4olrgAAIA/AAAAAOLHhL7zbz4/Vr2GvQQIDb+QDp6+pDuvPQAAAAAAAAAAzUhvPPb4Xro6mrA73yQVNlWjDDtWChY1AACAPwAAgD+UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSyBLCIaUjAFDlHSUUpQu"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True  True  True  True  True]", "bounded_above": "[ True  True  True  True  True  True  True  True]", "_shape": [8], "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 32, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 32, "n_epochs": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu118", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}

results.json

@@ -1 +1 @@
-{"mean_reward": 273.8443316127207, "std_reward": 27.58938783147887, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-08T16:07:11.926465"}
+{"mean_reward": 276.43828163127773, "std_reward": 18.218371527590417, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-08T16:55:16.288795"}