same model, different time

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 244.07 +/- 40.87
+      value: 256.19 +/- 24.45
       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 0x7bf2da6efeb0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7bf2da6eff40>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7bf2da4f4040>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7bf2da4f40d0>", "_build": "<function ActorCriticPolicy._build at 0x7bf2da4f4160>", "forward": "<function ActorCriticPolicy.forward at 0x7bf2da4f41f0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7bf2da4f4280>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7bf2da4f4310>", "_predict": "<function ActorCriticPolicy._predict at 0x7bf2da4f43a0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7bf2da4f4430>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7bf2da4f44c0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7bf2da4f4550>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bf2da696280>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1703346901157246148, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 310, "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": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "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 0x798fd3f23240>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x798fd3f232e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x798fd3f23380>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x798fd3f23420>", "_build": "<function ActorCriticPolicy._build at 0x798fd3f234c0>", "forward": "<function ActorCriticPolicy.forward at 0x798fd3f23560>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x798fd3f23600>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x798fd3f236a0>", "_predict": "<function ActorCriticPolicy._predict at 0x798fd3f23740>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x798fd3f237e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x798fd3f23880>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x798fd3f23920>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x798fd412c240>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1767864401517745970, "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:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="}, "_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:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu", "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-6.6.105+-x86_64-with-glibc2.35 # 1 SMP Thu Oct  2 10:42:05 UTC 2025", "Python": "3.12.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.9.0+cu126", "GPU Enabled": "True", "Numpy": "2.0.2", "Cloudpickle": "3.1.2", "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 sha256:9f16b3444934b589024dd72dd2170f6986713f02992fdde8367ee25ff1805955
-size 147983
+oid sha256:43f250d2e2ca887d3d8ee64799144153aa8836685bb230e5302e99e21450c303
+size 149143

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 0x7bf2da6efeb0>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7bf2da6eff40>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7bf2da4f4040>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7bf2da4f40d0>",
-        "_build": "<function ActorCriticPolicy._build at 0x7bf2da4f4160>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7bf2da4f41f0>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7bf2da4f4280>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7bf2da4f4310>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7bf2da4f43a0>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7bf2da4f4430>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7bf2da4f44c0>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7bf2da4f4550>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x798fd3f23240>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x798fd3f232e0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x798fd3f23380>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x798fd3f23420>",
+        "_build": "<function ActorCriticPolicy._build at 0x798fd3f234c0>",
+        "forward": "<function ActorCriticPolicy.forward at 0x798fd3f23560>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x798fd3f23600>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x798fd3f236a0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x798fd3f23740>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x798fd3f237e0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x798fd3f23880>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x798fd3f23920>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x7bf2da696280>"
+        "_abc_impl": "<_abc._abc_data object at 0x798fd412c240>"
     },
     "verbose": 1,
     "policy_kwargs": {},
@@ -26,16 +26,16 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1703346901157246148,
+    "start_time": 1767864401517745970,
     "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'>",
-        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
     },
     "_last_original_obs": null,
     "_episode_num": 0,
@@ -45,16 +45,16 @@
     "_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": 310,
+    "_n_updates": 248,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
-        ":serialized:": "gAWVcAIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoECiWCAAAAAAAAAABAQEBAQEBAZRoFEsIhZRoGHSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBAoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaApLCIWUaBh0lFKUjARoaWdolGgQKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgKSwiFlGgYdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
+        ":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:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu",
         "n": "4",
         "start": "0",
         "_shape": [],
@@ -77,23 +77,23 @@
         "_np_random": null
     },
     "n_envs": 16,
-    "n_steps": 2048,
-    "gamma": 0.99,
-    "gae_lambda": 0.95,
-    "ent_coef": 0.0,
+    "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,
+    "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 sha256:27d387ed74e8ebde6fb63b2f1ab0bad0bee3e887e2bd5cdcd25661065922da81
-size 88362
+oid sha256:0ad46d3101908e2f9e719bf22349cfb6d2cd02818ed6f6d6b5d209a1e45c7e9f
+size 88695

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf3526410adb52e9b261af5f6c18a90ab0399f13c2df34b79654cb6edcfbc393
-size 43762
+oid sha256:febd62335ce461006c75d7f9f5fa4d2638663abc2048182c70ca12e7d5074e50
+size 44095

ppo-LunarLander-v2/pytorch_variables.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
-size 864
+oid sha256:07c7431cf6005e7d8f367d79e995f63e2f9b981a37e3437b795d058f9af4308b
+size 1261

ppo-LunarLander-v2/system_info.txt

@@ -1,9 +1,9 @@
-- 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
+- OS: Linux-6.6.105+-x86_64-with-glibc2.35 # 1 SMP Thu Oct  2 10:42:05 UTC 2025
+- Python: 3.12.12
 - Stable-Baselines3: 2.0.0a5
-- PyTorch: 2.1.0+cu121
+- PyTorch: 2.9.0+cu126
 - GPU Enabled: True
-- Numpy: 1.23.5
-- Cloudpickle: 2.2.1
+- Numpy: 2.0.2
+- Cloudpickle: 3.1.2
 - Gymnasium: 0.28.1
 - OpenAI Gym: 0.25.2

results.json

@@ -1 +1 @@
-{"mean_reward": 244.07277359999998, "std_reward": 40.86918075178483, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-23T17:03:03.971715"}
+{"mean_reward": 256.1889662, "std_reward": 24.450048485974815, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-01-08T09:56:03.288105"}