Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 267.09 +/- 16.47
+      value: 251.31 +/- 24.66
       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 0x789f0b53ecb0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x789f0b53ed40>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x789f0b53edd0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x789f0b53ee60>", "_build": "<function ActorCriticPolicy._build at 0x789f0b53eef0>", "forward": "<function ActorCriticPolicy.forward at 0x789f0b53ef80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x789f0b53f010>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x789f0b53f0a0>", "_predict": "<function ActorCriticPolicy._predict at 0x789f0b53f130>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x789f0b53f1c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x789f0b53f250>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x789f0b53f2e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x789f0b539940>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1694592397175363947, "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-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": "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 0x7f64ccde80d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f64ccde8160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f64ccde81f0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f64ccde8280>", "_build": "<function ActorCriticPolicy._build at 0x7f64ccde8310>", "forward": "<function ActorCriticPolicy.forward at 0x7f64ccde83a0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f64ccde8430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f64ccde84c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f64ccde8550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f64ccde85e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f64ccde8670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f64ccde8700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f64ccde4ac0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1698256091956374701, "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-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Jan 27 02:56:13 UTC 2023", "Python": "3.9.18", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu121", "GPU Enabled": "True", "Numpy": "1.26.1", "Cloudpickle": "3.0.0", "Gymnasium": "0.28.1"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b51f0c1e79d5b1f0e5dcb5fb04b005e1d3fbf68bec568d156f2ad2abb98efbeb
-size 146746
+oid sha256:9f7897887fb719b3568ee5aea7cb8de5c4cb54ecbeab0a9a9e60c94ec0b36e7f
+size 148168

ppo-LunarLander-v2/data

@@ -4,20 +4,20 @@
         ":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 0x789f0b53ecb0>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x789f0b53ed40>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x789f0b53edd0>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x789f0b53ee60>",
-        "_build": "<function ActorCriticPolicy._build at 0x789f0b53eef0>",
-        "forward": "<function ActorCriticPolicy.forward at 0x789f0b53ef80>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x789f0b53f010>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x789f0b53f0a0>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x789f0b53f130>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x789f0b53f1c0>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x789f0b53f250>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x789f0b53f2e0>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7f64ccde80d0>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f64ccde8160>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f64ccde81f0>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f64ccde8280>",
+        "_build": "<function ActorCriticPolicy._build at 0x7f64ccde8310>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7f64ccde83a0>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f64ccde8430>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f64ccde84c0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7f64ccde8550>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f64ccde85e0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f64ccde8670>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f64ccde8700>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x789f0b539940>"
+        "_abc_impl": "<_abc._abc_data object at 0x7f64ccde4ac0>"
     },
     "verbose": 1,
     "policy_kwargs": {},
@@ -26,12 +26,12 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1694592397175363947,
+    "start_time": 1698256091956374701,
     "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'>",
@@ -45,7 +45,7 @@
     "_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'>",
@@ -54,7 +54,7 @@
     "_n_updates": 248,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
-        ":serialized:": "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",
+        ":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]",
@@ -69,7 +69,7 @@
     },
     "action_space": {
         ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
-        ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
+        ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
         "n": "4",
         "start": "0",
         "_shape": [],
@@ -87,13 +87,13 @@
     "n_epochs": 4,
     "clip_range": {
         ":type:": "<class 'function'>",
-        ":serialized:": "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"
+        ":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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"
+        ":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:bcdfcf4b3607fa9dd752c35adb2dc1db71245cf256b7534c0d6f475831301b6b
-size 87929
+oid sha256:aff0083c872612eebc8d390fb83bc9a7555b7102ac326d40c96dfd9c9d03f903
+size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a4dce7e60ce0c2284b0c4b6973a4912c1d4cce813a7526d9c0c53cf179ac559
-size 43329
+oid sha256:bf04dd2288515a8d957f4904c5cae29d3a90edffb607157723cd7efd03f3b2f1
+size 43762

ppo-LunarLander-v2/pytorch_variables.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
-size 431
+oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
+size 864

ppo-LunarLander-v2/system_info.txt

@@ -1,9 +1,8 @@
-- OS: Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023
-- Python: 3.10.12
+- OS: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Jan 27 02:56:13 UTC 2023
+- Python: 3.9.18
 - Stable-Baselines3: 2.0.0a5
-- PyTorch: 2.0.1+cu118
+- PyTorch: 2.1.0+cu121
 - GPU Enabled: True
-- Numpy: 1.23.5
-- Cloudpickle: 2.2.1
+- Numpy: 1.26.1
+- Cloudpickle: 3.0.0
 - Gymnasium: 0.28.1
-- OpenAI Gym: 0.25.2

results.json

@@ -1 +1 @@
-{"mean_reward": 267.0880123373525, "std_reward": 16.467174349803315, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-09-13T08:34:16.507112"}
+{"mean_reward": 251.31386777446087, "std_reward": 24.65985636805622, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-10-25T21:13:23.742833"}