Push first LunarLander to Hugging Face hub

LunarLander-PPO.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e803e78e2a6493688db8be3f37aba14046efeb156f629137290e40e58a5f6e6
-size 147292
+oid sha256:d2e0edb9e994445ab083e6065090b0c17691e054fc6a28c138d43811ab578e6c
+size 147643

LunarLander-PPO/data

@@ -42,52 +42,52 @@
         "dtype": "int64",
         "_np_random": null
     },
-    "n_envs": 16,
-    "num_timesteps": 114688,
-    "_total_timesteps": 100000,
+    "n_envs": 32,
+    "num_timesteps": 368000,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1678315706873833094,
-    "learning_rate": 0.0003,
-    "tensorboard_log": null,
+    "start_time": 1652272866.0520153,
+    "learning_rate": 0.0,
+    "tensorboard_log": "logs",
     "lr_schedule": {
         ":type:": "<class 'function'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="
     },
     "_last_original_obs": null,
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.1468799999999999,
+    "_current_progress_remaining": 0.67232,
     "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": 32,
-    "n_steps": 1024,
+    "_n_updates": 19344,
+    "n_steps": 2048,
     "gamma": 0.999,
     "gae_lambda": 0.98,
     "ent_coef": 0.01,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
-    "batch_size": 64,
-    "n_epochs": 4,
+    "batch_size": 256,
+    "n_epochs": 8,
     "clip_range": {
         ":type:": "<class 'function'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "clip_range_vf": null,
     "normalize_advantage": true,

LunarLander-PPO/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9054928bf8c4a4e92140ebf73c266155620a8c1cef48e6f2349f23c7fef8242
+oid sha256:02ff6dcd40b50828b38bedaee1ab8045fdc15c188a864c9244c62fbdeba22dbe
 size 87929

LunarLander-PPO/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6cc7372bdd1ea37f281062e395512c522e3464c0d08768e2ffcb2f71cf987472
+oid sha256:e881bb8dda4246344525ecda4621cf0c6b6b3dee39799fc47ab7be06cd30a820
 size 43393

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -208.75 +/- 62.61
+      value: 297.23 +/- 14.75
       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 0x7f10dfe8c0d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10dfe8c160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10dfe8c1f0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f10dfe8c280>", "_build": "<function ActorCriticPolicy._build at 0x7f10dfe8c310>", "forward": "<function ActorCriticPolicy.forward at 0x7f10dfe8c3a0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f10dfe8c430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f10dfe8c4c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f10dfe8c550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f10dfe8c5e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f10dfe8c670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f10dfe8c700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f10dfe8f180>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678315706873833094, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.1468799999999999, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 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": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "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": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
+{"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 0x7f10dfe8c0d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10dfe8c160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10dfe8c1f0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f10dfe8c280>", "_build": "<function ActorCriticPolicy._build at 0x7f10dfe8c310>", "forward": "<function ActorCriticPolicy.forward at 0x7f10dfe8c3a0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f10dfe8c430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f10dfe8c4c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f10dfe8c550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f10dfe8c5e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f10dfe8c670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f10dfe8c700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f10dfe8f180>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 32, "num_timesteps": 368000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652272866.0520153, "learning_rate": 0.0, "tensorboard_log": "logs", "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_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": 0.67232, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 19344, "n_steps": 2048, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 256, "n_epochs": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "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": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -208.75367657907447, "std_reward": 62.610037427444965, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-08T22:51:00.937258"}
+{"mean_reward": 297.22652308019434, "std_reward": 14.748484818671189, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-08T22:55:02.710534"}