Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -479.29 +/- 111.91
+      value: 247.34 +/- 21.41
       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 0x7b6aaa122dd0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b6aaa122e60>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b6aaa122ef0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b6aaa122f80>", "_build": "<function ActorCriticPolicy._build at 0x7b6aaa123010>", "forward": "<function ActorCriticPolicy.forward at 0x7b6aaa1230a0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b6aaa123130>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b6aaa1231c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b6aaa123250>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b6aaa1232e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b6aaa123370>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b6aaa123400>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b6aaa2c2680>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1707156617938619471, "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": -0.1468799999999999, "_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": 70, "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": 16, "n_steps": 1024, "gamma": 0.988, "gae_lambda": 0.9, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "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-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu121", "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 0x7b6aaa122dd0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b6aaa122e60>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b6aaa122ef0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b6aaa122f80>", "_build": "<function ActorCriticPolicy._build at 0x7b6aaa123010>", "forward": "<function ActorCriticPolicy.forward at 0x7b6aaa1230a0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b6aaa123130>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b6aaa1231c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b6aaa123250>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b6aaa1232e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b6aaa123370>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b6aaa123400>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b6aaa2c2680>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1707156835089403259, "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "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-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu121", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "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 sha256:675cbfdded60386619140637be7a9a8169fb36bae24c04e821f9ac3a9121233f
-size 147951
+oid sha256:fef77b8f03673c15646bdfcd646d1dc66490771708ebdbf66c100bf5f7a5cd74
+size 148068

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 114688,
-    "_total_timesteps": 100000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1707156617938619471,
+    "start_time": 1707156835089403259,
     "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": -0.1468799999999999,
+    "_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": 70,
+    "_n_updates": 248,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -78,13 +78,13 @@
     },
     "n_envs": 16,
     "n_steps": 1024,
-    "gamma": 0.988,
-    "gae_lambda": 0.9,
+    "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": 10,
+    "n_epochs": 4,
     "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:f9394b4f8b1260eedab9c58bb1fa98e813fbb183d70bf87cbc906b6b5898b84b
+oid sha256:127cb8fecd8877bd88b896fa7ca2416f99b2cb37eae4c541d6ee6c4ebecc3016
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0c47e65e3c3216c90ed0108c8036a0a9970db636d6966b84a57713272d4acaa
+oid sha256:d0018a7ee4f19d58d7b12cf1b8d91359133858d59f59aa4fb4a98ffbfa0e7b03
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": -479.2910069283125, "std_reward": 111.91224074912712, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-02-05T18:12:55.235361"}
+{"mean_reward": 247.33899929187282, "std_reward": 21.410916032262286, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-02-05T18:33:47.100730"}