Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -167.33 +/- 65.76
+      value: 279.66 +/- 21.35
       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 0x79fe50262950>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x79fe502629e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x79fe50262a70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x79fe50262b00>", "_build": "<function ActorCriticPolicy._build at 0x79fe50262b90>", "forward": "<function ActorCriticPolicy.forward at 0x79fe50262c20>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x79fe50262cb0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x79fe50262d40>", "_predict": "<function ActorCriticPolicy._predict at 0x79fe50262dd0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x79fe50262e60>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x79fe50262ef0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x79fe50262f80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x79fe513a8f40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 16384, "_total_timesteps": 1000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719644845354455693, "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": -15.384, "_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": 4, "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 Tue Jun 18 14:18:04 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "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 0x79fe50262950>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x79fe502629e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x79fe50262a70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x79fe50262b00>", "_build": "<function ActorCriticPolicy._build at 0x79fe50262b90>", "forward": "<function ActorCriticPolicy.forward at 0x79fe50262c20>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x79fe50262cb0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x79fe50262d40>", "_predict": "<function ActorCriticPolicy._predict at 0x79fe50262dd0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x79fe50262e60>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x79fe50262ef0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x79fe50262f80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x79fe513a8f40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719646992143536417, "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": 620, "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": 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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Tue Jun 18 14:18:04 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "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:d14ca8a1970548e7396adb16b47f87663d6ac26bc39cfaddff9423c4bbc53b95
-size 147931
+oid sha256:d57d43c7f4bf378d878debd058352711ee9d28c22161cf8c628c6e8621f6fa26
+size 147973

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 16384,
-    "_total_timesteps": 1000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1719644845354455693,
+    "start_time": 1719646992143536417,
     "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": -15.384,
+    "_current_progress_remaining": -0.015808000000000044,
     "_stats_window_size": 100,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWV4AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHwFh5uWrwOOOMAWyUS1aMAXSUR0CDoliEQGwBdX2UKGgGR8B2TUaR6nivaAdLXWgIR0CDon+1jRUndX2UKGgGR8Bu20oBq9GraAdLaWgIR0CDor4X40uUdX2UKGgGR8BUzX8GcFyJaAdLQmgIR0CDo0CRwIdEdX2UKGgGR8BnAJRO1v2oaAdLamgIR0CDo3YdQwbmdX2UKGgGR8BlvwF1SwW4aAdLb2gIR0CDo4/B3zMBdX2UKGgGR8BoMXb48EFGaAdLPGgIR0CDo8GX5WRzdX2UKGgGR8BaWmfPHDJmaAdLPGgIR0CDo/3ta6jGdX2UKGgGR8BnxIvalDWtaAdLU2gIR0CDpK7bL2YfdX2UKGgGR8Bea+ndfsu4aAdLaGgIR0CDpLNlAeJYdX2UKGgGR8BKQ7btZ3cIaAdLUWgIR0CDpL6QeV9ndX2UKGgGR8BiMH5pJwsHaAdLa2gIR0CDpQlF+d9VdX2UKGgGR8BjURQzk6tDaAdLT2gIR0CDpRYwqRU4dX2UKGgGR8BXrNLDhtLtaAdLdmgIR0CDpUz3RG+cdX2UKGgGR8Awy7oSteUqaAdLXGgIR0CDpUw3YL9ddX2UKGgGR8Bk2Td30PH1aAdLW2gIR0CDpVH9WIXTdX2UKGgGR8BxOiguh9LIaAdLfWgIR0CDpbgP3BYWdX2UKGgGR8BcMtpAUtZnaAdLXWgIR0CDpcliz9jxdX2UKGgGR8BdHBOxjawmaAdLa2gIR0CDpeA6Mir1dX2UKGgGRz/z4Lw4KhL5aAdLQmgIR0CDpf0g8r7PdX2UKGgGR8BzGQO2AoXsaAdLSmgIR0CDpgm0E5hjdX2UKGgGR8BlgxTIeYD1aAdLVWgIR0CDphaK1og3dX2UKGgGR8BYdUMw1zhhaAdLQmgIR0CDptbNbC79dX2UKGgGR8Bj/rtJFspHaAdLP2gIR0CDpsdq+JxedX2UKGgGR8BWcO0b961LaAdLamgIR0CDpu0P6KtQdX2UKGgGR8B6xYKtxMnJaAdLZmgIR0CDp3E7W/ahdX2UKGgGR8BtErxLCemOaAdLP2gIR0CDp2R+z+m4dX2UKGgGR8BnA5fdAPd3aAdLR2gIR0CDqA8tf5UMdX2UKGgGR8BjxcvoNd7faAdLVWgIR0CDqBuwX668dX2UKGgGR8A9rVEd/8VIaAdLVWgIR0CDqCCSRr8BdX2UKGgGR8BbM0Rvm5lOaAdLTWgIR0CDqJVrhzeXdX2UKGgGR8BjMFjslb/waAdLVmgIR0CDqKMxXXAedX2UKGgGR8B0K6D0163RaAdLT2gIR0CDqLeJpFkQdX2UKGgGR8A4r7k4m1IAaAdLcGgIR0CDqMkyDZlGdX2UKGgGR8ByP9ZxJd0JaAdLVGgIR0CDqMd8Rcu8dX2UKGgGR8B4mfRNRFZxaAdLc2gIR0CDqNhESdvsdX2UKGgGR8BvoNAqur6taAdLiWgIR0CDqTiXIEKWdX2UKGgGR8BOLavA44p+aAdLRGgIR0CDqTVU+9rXdX2UKGgGR8BzxY2YOUdJaAdLa2gIR0CDqVnaFmFrdX2UKGgGR8BbOExASnLraAdLUWgIR0CDqXKJVKf4dX2UKGgGR8BT37jtG/etaAdLPWgIR0CDqf+JgsshdX2UKGgGR8B0v1JwsGxEaAdLVmgIR0CDqiEkjX4CdX2UKGgGR8BGPtOmBOHnaAdLRGgIR0CDqtcqOLiudX2UKGgGR8B2RrTz/ZM+aAdLbWgIR0CDqs9pyp71dX2UKGgGR8BpZCJKraM8aAdLf2gIR0CDqvCZ4Oc2dX2UKGgGR8BaROLehwl0aAdLTmgIR0CDqwBBAv+PdX2UKGgGR8BlNgsTWXkYaAdLPWgIR0CDqyAG0NSZdX2UKGgGR8BX1qnJkoWpaAdLT2gIR0CDq7AsTWXkdX2UKGgGR8Boc57NSqEOaAdLfWgIR0CDrAW+oLofdX2UKGgGR8BpPS1qnFYMaAdLemgIR0CDq/fj0cwQdX2UKGgGR8By6pF3IMjNaAdLb2gIR0CDrFfyf+S9dX2UKGgGR8BHILxqfvnbaAdLW2gIR0CDrGAAAAAAdX2UKGgGR8B18nfBN21VaAdLd2gIR0CDrI6jnFHbdX2UKGgGR8B6h4DA8B+4aAdLe2gIR0CDrKK4x1xLdX2UKGgGR8ByIrD0lJHzaAdLgGgIR0CDrLc32mHhdX2UKGgGR8BdlGYKIBRyaAdLW2gIR0CDrPlUZNwjdX2UKGgGR8B0xZ+5OJtSaAdLeWgIR0CDrTnX/YJ3dX2UKGgGR8BaEQI6bONYaAdLYGgIR0CDrgtT1kDqdX2UKGgGR8BrO3cafjCIaAdLY2gIR0CDrjSNOuaGdX2UKGgGR8BencibDuSfaAdLbWgIR0CDrl33YcvNdX2UKGgGR8B7G8hB7eEaaAdLi2gIR0CDrq1qFh5PdX2UKGgGR8BB/DiXIEKWaAdLWWgIR0CDrqESM98rdX2UKGgGR8BoZS68QI2PaAdLUmgIR0CDrr6tT1kEdX2UKGgGR8BaXxMWXTmXaAdLTWgIR0CDryEjgQ6IdX2UKGgGR8Bo6okgOjIraAdLemgIR0CDryG0u14PdX2UKGgGR8BtYM8xKxs3aAdLYWgIR0CDryqTbFjvdX2UKGgGR7/X6hxo7FKkaAdLjmgIR0CDr5s3Q2MsdX2UKGgGR8BZACGFi8WcaAdLT2gIR0CDr6f9P1tgdX2UKGgGR8A9q287IT4+aAdLSWgIR0CDr7lcQiA2dX2UKGgGR8B2Woeii7CjaAdLa2gIR0CDr+30f5k9dX2UKGgGR8Bb05bY9Pk8aAdLYmgIR0CDr/toi9qUdX2UKGgGR8BbW9JFspG4aAdLTGgIR0CDsJ48lolEdX2UKGgGR8Br5cBIWgvlaAdLf2gIR0CDsI9ytFKDdX2UKGgGR8BoBQrWiDdyaAdLh2gIR0CDsP/giu+zdX2UKGgGR8BgXnboKUmlaAdLR2gIR0CDsPq9GqgidX2UKGgGR8BXo9S2phnbaAdLQmgIR0CDsVBfrrxBdX2UKGgGR8BkqyowVTJhaAdLVmgIR0CDsY/OdGy5dX2UKGgGR8Blbbsa86FNaAdLSmgIR0CDsZP/rB0qdX2UKGgGR8BZG+uA7PpqaAdLP2gIR0CDsbfReC04dX2UKGgGR8BsreXXyy2QaAdLZmgIR0CDscOLBKtgdX2UKGgGR8BekwQlKK51aAdLVWgIR0CDsfQVsUItdX2UKGgGR8BiCdT987ZGaAdLf2gIR0CDsmWtU4rCdX2UKGgGR8Bv5GbXpW3jaAdLW2gIR0CDsoV0Lc9GdX2UKGgGR8B6LoBEKE39aAdLhGgIR0CDsvfu1F6SdX2UKGgGR8BjEH1+RYA9aAdLVmgIR0CDs2COmzjWdX2UKGgGR8BxE0rDqGDdaAdLb2gIR0CDs3Xr+o9+dX2UKGgGR8BgfVR51Ng0aAdLW2gIR0CDs4Us4DLbdX2UKGgGR8BdjjCk43m3aAdLfmgIR0CDs6lF+d9VdX2UKGgGR8BueH6ZYxL1aAdLemgIR0CDs+z9jwx4dX2UKGgGR8BhNVfJFLFoaAdLTmgIR0CDtE0aZQYUdX2UKGgGR8BcBm9pRGc4aAdLZ2gIR0CDtFYYixFBdX2UKGgGR8Bqq2AG0NSZaAdLUmgIR0CDtGZccENfdX2UKGgGR8Bd0kGVzIV/aAdLbGgIR0CDtIZkTYdydX2UKGgGR8Ba0RPO6d1/aAdLbWgIR0CDtNp35eqrdX2UKGgGR8BdELa7EpAlaAdLZGgIR0CDtTmQKa5PdX2UKGgGR8BqV3x2B8QaaAdLdGgIR0CDtVxQzk6tdX2UKGgGR8BWP+6RQrMDaAdLOmgIR0CDtYteUpuudX2UKGgGR8BY0WYOUdJbaAdLfGgIR0CDtZyMkyDadX2UKGgGR8BZ2aTwDvE1aAdLaGgIR0CDtdPsRg7YdX2UKGgGR8BQeRAfMfRvaAdLWGgIR0CDteSZjQRgdWUu"
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 4,
+    "_n_updates": 620,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
@@ -84,7 +84,7 @@
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "batch_size": 64,
-    "n_epochs": 4,
+    "n_epochs": 10,
     "clip_range": {
         ":type:": "<class 'function'>",
         ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba146e90321924b76ebb53d40451ac6856e91015d4a8548fe291d83006d8dcb5
+oid sha256:84610aa51b6ce3df610ee3f7330cdd2454a4697eff1ac281e99a96528f43fec8
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd4431d59be1fb17030b93635216e16eb13f519fe038755ad28c95ee7d176df4
+oid sha256:6661c86b530ddbeb769fe2386c87292e9a7a76c5d4a6148aa449d43a321def01
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": -167.3348440787755, "std_reward": 65.75837776930761, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-29T07:20:08.443554"}
+{"mean_reward": 279.6644816888567, "std_reward": 21.34822621990732, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-29T08:17:47.083062"}