Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 290.99 +/- 17.58
+      value: 283.84 +/- 12.64
       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 0x7e4274313240>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e42743132e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e4274313380>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e4274313420>", "_build": "<function ActorCriticPolicy._build at 0x7e42743134c0>", "forward": "<function ActorCriticPolicy.forward at 0x7e4274313560>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e4274313600>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e42743136a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7e4274313740>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e42743137e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e4274313880>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e4274313920>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e427448b980>"}, "verbose": 1, "policy_kwargs": {"net_arch": {"pi": [256, 256, 256], "vf": [256, 256, 256]}}, "num_timesteps": 7012352, "_total_timesteps": 7000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1754606920652110302, "learning_rate": 0.00019383199835819534, "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": -0.0017645714285714487, "_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": 1926, "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": 2048, "gamma": 0.990287017222233, "gae_lambda": 0.9564617182602845, "ent_coef": 0.00010995461543944565, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 9, "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-6.1.123+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Mar 30 16:01:29 UTC 2025", "Python": "3.11.13", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.6.0+cu124", "GPU Enabled": "False", "Numpy": "2.0.2", "Cloudpickle": "3.1.1", "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 0x7b68e953f240>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b68e953f2e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b68e953f380>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b68e953f420>", "_build": "<function ActorCriticPolicy._build at 0x7b68e953f4c0>", "forward": "<function ActorCriticPolicy.forward at 0x7b68e953f560>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b68e953f600>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b68e953f6a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b68e953f740>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b68e953f7e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b68e953f880>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b68e953f920>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b68e96ad140>"}, "verbose": 1, "policy_kwargs": {"net_arch": {"pi": [128, 128], "vf": [128, 128]}}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1754628287295676745, "learning_rate": 0.0009737681987136588, "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": 186, "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": 2048, "gamma": 0.9997905225264959, "gae_lambda": 0.9353758410268609, "ent_coef": 0.002296051406278652, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 6, "clip_range": {":type:": "<class 'function'>", ":serialized:": "gAWV1gIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwiVAZcAiQFTAJROhZQpjAFflIWUjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjExL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUS4RDCPiAANgPEogKlEMAlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTEvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpRoAIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCF9lH2UKGgYjARmdW5jlIwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBmMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHP894JyBZLlyFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.123+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Mar 30 16:01:29 UTC 2025", "Python": "3.11.13", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.6.0+cu124", "GPU Enabled": "False", "Numpy": "2.0.2", "Cloudpickle": "3.1.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}

ppo_lunar_optimized.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2924063c5298598e9485b6de6721060f84a771318631ecd8f8667468b72b90f
-size 3263573
+oid sha256:4926529de4b264c7d15d63ee5a9df7ea648dadb7091f1ebbbe98ff5cb91da2fd
+size 461935

ppo_lunar_optimized/data

@@ -4,47 +4,45 @@
         ":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 0x7e4274313240>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e42743132e0>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e4274313380>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e4274313420>",
-        "_build": "<function ActorCriticPolicy._build at 0x7e42743134c0>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7e4274313560>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e4274313600>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e42743136a0>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7e4274313740>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e42743137e0>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e4274313880>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e4274313920>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7b68e953f240>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b68e953f2e0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b68e953f380>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b68e953f420>",
+        "_build": "<function ActorCriticPolicy._build at 0x7b68e953f4c0>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7b68e953f560>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b68e953f600>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b68e953f6a0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7b68e953f740>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b68e953f7e0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b68e953f880>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b68e953f920>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x7e427448b980>"
+        "_abc_impl": "<_abc._abc_data object at 0x7b68e96ad140>"
     },
     "verbose": 1,
     "policy_kwargs": {
         "net_arch": {
             "pi": [
-                256,
-                256,
-                256
+                128,
+                128
             ],
             "vf": [
-                256,
-                256,
-                256
+                128,
+                128
             ]
         }
     },
-    "num_timesteps": 7012352,
-    "_total_timesteps": 7000000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1754606920652110302,
-    "learning_rate": 0.00019383199835819534,
+    "start_time": 1754628287295676745,
+    "learning_rate": 0.0009737681987136588,
     "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'>",
@@ -54,17 +52,17 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.0017645714285714487,
+    "_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": 1926,
+    "_n_updates": 186,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -91,22 +89,22 @@
     },
     "n_envs": 16,
     "n_steps": 2048,
-    "gamma": 0.990287017222233,
-    "gae_lambda": 0.9564617182602845,
-    "ent_coef": 0.00010995461543944565,
+    "gamma": 0.9997905225264959,
+    "gae_lambda": 0.9353758410268609,
+    "ent_coef": 0.002296051406278652,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "batch_size": 64,
-    "n_epochs": 9,
+    "n_epochs": 6,
     "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_lunar_optimized/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebef44672c9bbc9195fa8c8718f6a164b1d94949f7b73b249efeed38658f730a
-size 2165382
+oid sha256:e9aa03f45d972cf3898dd36d5d0b4ad05fde37581509f0759a50fb9b60110381
+size 297386

ppo_lunar_optimized/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29d361356505e28f1eafc1716ae813eea73819a8eadc1f5c6beb586d1aae25c7
-size 1082022
+oid sha256:f8e7be32bb12fc28da9f07de3eb50ba9a989c4f1e7aef4a1a1d73364112a3611
+size 148338

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5f359902825ae86ac9629a4177b735ca1afdf11ec9f55fd3a0aace13b3569fff
-size 146259
+oid sha256:bd749c94300cc7c21a7a6ea455bc8bcddcbec79bd5c9ee838c8490dfd6b3a5aa
+size 157639

results.json

@@ -1 +1 @@
-{"mean_reward": 290.98792145267834, "std_reward": 17.576009924833265, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-08T00:52:59.504435"}
+{"mean_reward": 283.83801799982035, "std_reward": 12.637415752401655, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-08T05:08:44.259743"}