Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 241.23 +/- 52.06
+      value: 277.53 +/- 19.30
       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 0x7b50d56ce050>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b50d56ce0e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b50d56ce170>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b50d56ce200>", "_build": "<function ActorCriticPolicy._build at 0x7b50d56ce290>", "forward": "<function ActorCriticPolicy.forward at 0x7b50d56ce320>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b50d56ce3b0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b50d56ce440>", "_predict": "<function ActorCriticPolicy._predict at 0x7b50d56ce4d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b50d56ce560>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b50d56ce5f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b50d56ce680>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b50d5673cc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1736187360843385278, "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": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu121", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.0", "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 0x7b50d56ce050>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b50d56ce0e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b50d56ce170>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b50d56ce200>", "_build": "<function ActorCriticPolicy._build at 0x7b50d56ce290>", "forward": "<function ActorCriticPolicy.forward at 0x7b50d56ce320>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b50d56ce3b0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b50d56ce440>", "_predict": "<function ActorCriticPolicy._predict at 0x7b50d56ce4d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b50d56ce560>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b50d56ce5f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b50d56ce680>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b50d5673cc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1507328, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1736188918315971135, "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": 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:": "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": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu121", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.0", "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:b0e3deffbedf607680881231b2e88f9e93c05a1d1f395fd135be46ff02151f62
-size 148020
+oid sha256:b9cd76cafb78bcf035539ee198a2c352fc61962ffc5c04bf904dfe7b55eedb1e
+size 147948

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 1015808,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 1507328,
+    "_total_timesteps": 1500000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1736187360843385278,
+    "start_time": 1736188918315971135,
     "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": 368,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a7175443ec455e51c61d24588cf9e84095a8193298800cf255124586c91eef8
+oid sha256:6ddae09c4f6a5fcda84355f3e0c10f4ab52b39ab8cc88e9e10d61c9711c51ad5
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ef9f328d8773ba2344cdd5b8ae95d87e6e6e62838715ff607ed0fdcae9c8504
+oid sha256:614b0ce2e267750815a20d885ad69abfb5f2df9e9cc751d1cda8c539e702ee8b
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": 241.2312574, "std_reward": 52.06317587308777, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-01-06T18:37:13.487710"}
+{"mean_reward": 277.525378, "std_reward": 19.2985164586971, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-01-06T19:08:23.574687"}