Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 287.66 +/- 22.64
+      value: 310.89 +/- 13.59
       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 0x7b907c52d630>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b907c52d6c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b907c52d750>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b907c52d7e0>", "_build": "<function ActorCriticPolicy._build at 0x7b907c52d870>", "forward": "<function ActorCriticPolicy.forward at 0x7b907c52d900>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b907c52d990>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b907c52da20>", "_predict": "<function ActorCriticPolicy._predict at 0x7b907c52dab0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b907c52db40>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b907c52dbd0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b907c52dc60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b907c529e80>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1693694802335043500, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": null, "_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": 27504, "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:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "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": 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-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.0.1+cu118", "GPU Enabled": "False", "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 0x7b907c52d630>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b907c52d6c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b907c52d750>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b907c52d7e0>", "_build": "<function ActorCriticPolicy._build at 0x7b907c52d870>", "forward": "<function ActorCriticPolicy.forward at 0x7b907c52d900>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b907c52d990>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b907c52da20>", "_predict": "<function ActorCriticPolicy._predict at 0x7b907c52dab0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b907c52db40>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b907c52dbd0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b907c52dc60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b907c529e80>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1693695142212127500, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": null, "_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": 27532, "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:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "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": 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-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.0.1+cu118", "GPU Enabled": "False", "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 sha256:16f5745f5181510eb38cde02b33ffa46cf52ffccf1df37c738f041df0def4d01
+oid sha256:28e4366d4e1485a913c1db68263c54c6a3bf04813cf354f213487558be1f1e77
 size 145238

ppo-LunarLander-v2/data

@@ -26,7 +26,7 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1693694802335043500,
+    "start_time": 1693695142212127500,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "_last_obs": null,
@@ -42,13 +42,13 @@
     "_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": 27504,
+    "_n_updates": 27532,
     "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 sha256:494cf6989a3a2c3109e5930f90c663d324bfcc6c5649162b00f1d831acdd5941
+oid sha256:938296ddd10b5e34707bf26413d2b62d92be4787e39be33af1d4f443188b96e8
 size 87545

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7145d27436fe7be3eaa4d5347ede220a58ac332d65771c839496358e90e8e180
+oid sha256:1a0ec482846cc044b45df4d76e20ac3f522c19be173033a1c68c142fdd2891b9
 size 43201

results.json

@@ -1 +1 @@
-{"mean_reward": 287.6571482222921, "std_reward": 22.64431365746653, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-09-02T22:51:01.205141"}
+{"mean_reward": 310.8887590812536, "std_reward": 13.585808040331841, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-09-02T22:55:19.787150"}