Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -160.75 +/- 24.10
+      value: 250.30 +/- 37.25
       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 0x7eed4e9aa7a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7eed4e9aa830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7eed4e9aa8c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7eed4e9aa950>", "_build": "<function ActorCriticPolicy._build at 0x7eed4e9aa9e0>", "forward": "<function ActorCriticPolicy.forward at 0x7eed4e9aaa70>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7eed4e9aab00>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7eed4e9aab90>", "_predict": "<function ActorCriticPolicy._predict at 0x7eed4e9aac20>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7eed4e9aacb0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7eed4e9aad40>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7eed4e9aadd0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7eed4eb3e280>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1704028796507483225, "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": -0.1468799999999999, "_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": 28, "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:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "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 0x7eed4e9aa7a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7eed4e9aa830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7eed4e9aa8c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7eed4e9aa950>", "_build": "<function ActorCriticPolicy._build at 0x7eed4e9aa9e0>", "forward": "<function ActorCriticPolicy.forward at 0x7eed4e9aaa70>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7eed4e9aab00>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7eed4e9aab90>", "_predict": "<function ActorCriticPolicy._predict at 0x7eed4e9aac20>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7eed4e9aacb0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7eed4e9aad40>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7eed4e9aadd0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7eed4eb3e280>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1704029441847924062, "learning_rate": 0.001, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAEAi0z13z2A/CqdnPid5Nb8JUVk+LqCiPQAAAAAAAAAAzQFZva5vhDkMWo+5PGZ0M46DSru8Bq44AACAPwAAAAAz6Eq+b+VwPV76FD4NDVS+3vF3PVb2E70AAAAAAAAAAJqLPTwCHbc/ArbHPiWVhz7NTli8TvqyvQAAAAAAAAAAricGv/NRI769/Ks60nAcOfcIKj4D/RS6AACAPwAAgD8m7Ni9w1UluiJ7IDgesSUzetkpuy0PPLcAAIA/AAAAAM1b5r1cR3m60O3XtXH+1DKVTIY70On0NAAAgD8AAIA/DSduvs+ZKT3KImc+an1ovgEP476dFca+AACAPwAAAAAK6oy+9Bk+vU31Wbt1CjG6VI+jPgxNlToAAIA/AACAP3MGrL1nnSQ/gpzavVXLzL6rOXC9qFA3vQAAAAAAAAAAc2c1vt7FmD8Moqq+ag0Zv4/ZJ77Ay0G9AAAAAAAAAADamDY+G3CcvGRlkD2+Ghi8/h4NviqL8LwAAIA/AACAP03o9j3x3sk9MtouvlkugL5QEKW5bgAbPAAAAAAAAAAATTNtPU3tfz4eeaO9C9ZKvkbGYTyFzii9AAAAAAAAAAAATzA+pSIjPiWzvr3tTV6+JerrvK3n7rwAAAAAAAAAACaY2j1F0wg+Kp+SvcaHUb6sMWM8tA0hPAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="}, "_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": 0.99, "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-6.1.58+-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"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02256deec9d41cf8968f293dc9d88be6d0ae38edd34bb69b9232f9dc4ac8b68f
-size 147931
+oid sha256:106cb45636257c7e95f480582d2532619d2bb71253f3954945366e8b409a5434
+size 147994

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 114688,
-    "_total_timesteps": 100000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1704028796507483225,
-    "learning_rate": 0.0003,
+    "start_time": 1704029441847924062,
+    "learning_rate": 0.001,
     "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": -0.1468799999999999,
+    "_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": 28,
+    "_n_updates": 248,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -78,7 +78,7 @@
     },
     "n_envs": 16,
     "n_steps": 1024,
-    "gamma": 0.999,
+    "gamma": 0.99,
     "gae_lambda": 0.98,
     "ent_coef": 0.01,
     "vf_coef": 0.5,
@@ -94,6 +94,6 @@
     "target_kl": null,
     "lr_schedule": {
         ":type:": "<class 'function'>",
-        ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
+        ":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:b715884e12372cdc0d060a4e442755ecaf7d42785de93d5f1a283f0b4ef96e28
+oid sha256:a60af85d298b2b5d29b85081f699050b3e75bdbce1bf22a67632482ecfbd823b
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b27d44e462322dbed15dae51709dcb1d9df3e47e40b5d2370874393c33b40c9
+oid sha256:d7ada4d3ceb6fa1661aba3aefc63d91b18f23630e5fa8d7c86b65ca37c5634c6
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": -160.74854508177432, "std_reward": 24.098619351904958, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-31T13:25:17.595123"}
+{"mean_reward": 250.2991429561639, "std_reward": 37.25474347531259, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-31T14:00:51.654999"}