Update PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 247.98 +/- 20.21
+      value: 289.63 +/- 12.14
       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 0x7955686d98a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7955686d9940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7955686d99e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7955686d9a80>", "_build": "<function ActorCriticPolicy._build at 0x7955686d9b20>", "forward": "<function ActorCriticPolicy.forward at 0x7955686d9bc0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7955686d9c60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7955686d9d00>", "_predict": "<function ActorCriticPolicy._predict at 0x7955686d9da0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7955686d9e40>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7955686d9ee0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7955686d9f80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x79556a6b7800>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1740356357345772209, "learning_rate": 0.0003, "tensorboard_log": null, "_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": -0.015808000000000044, "_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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "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, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.11.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu124", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.1", "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 0x7955686d98a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7955686d9940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7955686d99e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7955686d9a80>", "_build": "<function ActorCriticPolicy._build at 0x7955686d9b20>", "forward": "<function ActorCriticPolicy.forward at 0x7955686d9bc0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7955686d9c60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7955686d9d00>", "_predict": "<function ActorCriticPolicy._predict at 0x7955686d9da0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7955686d9e40>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7955686d9ee0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7955686d9f80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x79556a6b7800>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 3014656, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1740359114739491794, "learning_rate": 0.0003, "tensorboard_log": null, "_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": -0.004885333333333408, "_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": 736, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=", "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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "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": 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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.11.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu124", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bea571173885341746b64b92b60a83f5aa7721463309eb5c641e9702488679a1
-size 148128
+oid sha256:df449ecc24b2599794ee50673cb873d7c72f3c21bd9c89744e69f88c084055ef
+size 148004

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 1015808,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 3014656,
+    "_total_timesteps": 3000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1740356357345772209,
+    "start_time": 1740359114739491794,
     "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": -0.015808000000000044,
+    "_current_progress_remaining": -0.004885333333333408,
     "_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": 248,
+    "_n_updates": 736,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -77,14 +77,14 @@
         "_np_random": null
     },
     "n_envs": 16,
-    "n_steps": 1024,
+    "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,
+    "n_epochs": 8,
     "clip_range": {
         ":type:": "<class 'function'>",
         ":serialized:": "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"

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3c8d1f1400639f6f2e40bcba9c99fcf1f2b45a037f25087081240a749259ad6
+oid sha256:66d93797bcbd226bdd64910d95e61153ca9e2ca8cb2b962fc37cecd041b9bab4
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e7b251f2fafde0876857e9c80f7534a94013bb07a873ac870a5a830d1f91a7f1
+oid sha256:a44b6e7f94160272c20d7ff465e5ca21092dcef96efd6dd552ede7b868ed1260
 size 43762

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3d972bf601a09878baa50077b8ce84c1713b43e25f20223b6cc872b0b57cd1f
-size 196841
+oid sha256:d7cdb1ce61dee2a36fba79946c9f5a8cae9d879df673aedd6c7812c4734a4ec5
+size 170666

results.json

@@ -1 +1 @@
-{"mean_reward": 247.97652550486242, "std_reward": 20.205733821609304, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-02-24T00:45:47.392158"}
+{"mean_reward": 289.6307960796756, "std_reward": 12.140586873075998, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-02-24T02:19:42.015059"}