new_model: PPO model trained for 4 and 1000000 steps

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 260.94 +/- 19.35
+      value: 268.56 +/- 23.20
       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 0x7f6f36990860>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6f36990900>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6f369909a0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6f36990a40>", "_build": "<function ActorCriticPolicy._build at 0x7f6f36990ae0>", "forward": "<function ActorCriticPolicy.forward at 0x7f6f36990b80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f6f36990c20>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6f36990cc0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f6f36990d60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6f36990e00>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6f36990ea0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6f36990f40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f6f3698d000>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 0, "_total_timesteps": 0, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 0.0, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": null, "_last_episode_starts": null, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 1.0, "_stats_window_size": 100, "ep_info_buffer": null, "ep_success_buffer": null, "_n_updates": 0, "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": "Generator(PCG64)"}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "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": 5, "clip_range": {":type:": "<class 'function'>", ":serialized:": "gAWVKwMAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwiVAZcAiQFTAJROhZQpjAFflIWUjIMvaG9tZS9jYXJsb3NncmFuYWRvcy9yZXBvc2l0b3J5L2NvZGVzL2hmX2RlZXBfcmwvcHl0aG9uUHJvamVjdC8udmVudi9saWIvcHl0aG9uMy4xMS9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlEuEQwj4gADYDxKICpRDAJSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjIMvaG9tZS9jYXJsb3NncmFuYWRvcy9yZXBvc2l0b3J5L2NvZGVzL2hmX2RlZXBfcmwvcHl0aG9uUHJvamVjdC8udmVudi9saWIvcHl0aG9uMy4xMS9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlGgAjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoIX2UfZQoaBhoDYwMX19xdWFsbmFtZV9flGgOjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgZjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/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-5.15.153.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Mar 29 23:14:13 UTC 2024", "Python": "3.11.7", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.1+cu121", "GPU Enabled": "True", "Numpy": "2.0.0", "Cloudpickle": "3.0.0", "Gymnasium": "0.28.1"}}
+{"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 0x7f83fa74c9a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f83fa74ca40>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f83fa74cae0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f83fa74cb80>", "_build": "<function ActorCriticPolicy._build at 0x7f83fa74cc20>", "forward": "<function ActorCriticPolicy.forward at 0x7f83fa74ccc0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f83fa74cd60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f83fa74ce00>", "_predict": "<function ActorCriticPolicy._predict at 0x7f83fa74cea0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f83fa74cf40>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f83fa74cfe0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f83fa74d080>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f83fa746340>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1720094483813721839, "learning_rate": 0.0001, "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": 496, "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": "Generator(PCG64)"}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "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": 32, "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-5.15.153.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Mar 29 23:14:13 UTC 2024", "Python": "3.11.7", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.1+cu121", "GPU Enabled": "True", "Numpy": "2.0.0", "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:b042c4f86455280252a5d9253249ee7f041c1f88d186b316524aac4199c323ad
-size 144012
+oid sha256:64a5fce0623a469e897f2b7914ae68baa869084bceaa4458233e36c77b145a90
+size 149500

ppo-LunarLander-v2/data

@@ -4,45 +4,57 @@
         ":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 0x7f6f36990860>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6f36990900>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6f369909a0>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6f36990a40>",
-        "_build": "<function ActorCriticPolicy._build at 0x7f6f36990ae0>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7f6f36990b80>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f6f36990c20>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6f36990cc0>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7f6f36990d60>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6f36990e00>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6f36990ea0>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6f36990f40>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7f83fa74c9a0>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f83fa74ca40>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f83fa74cae0>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f83fa74cb80>",
+        "_build": "<function ActorCriticPolicy._build at 0x7f83fa74cc20>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7f83fa74ccc0>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f83fa74cd60>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f83fa74ce00>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7f83fa74cea0>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f83fa74cf40>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f83fa74cfe0>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f83fa74d080>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x7f6f3698d000>"
+        "_abc_impl": "<_abc._abc_data object at 0x7f83fa746340>"
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 0,
-    "_total_timesteps": 0,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 0.0,
-    "learning_rate": 0.0003,
+    "start_time": 1720094483813721839,
+    "learning_rate": 0.0001,
     "tensorboard_log": null,
-    "_last_obs": null,
-    "_last_episode_starts": 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": 1.0,
+    "_current_progress_remaining": -0.015808000000000044,
     "_stats_window_size": 100,
-    "ep_info_buffer": null,
-    "ep_success_buffer": null,
-    "_n_updates": 0,
+    "ep_info_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "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"
+    },
+    "ep_success_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
+    },
+    "_n_updates": 496,
     "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]",
@@ -57,7 +69,7 @@
     },
     "action_space": {
         ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
-        ":serialized:": "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",
+        ":serialized:": "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",
         "n": "4",
         "start": "0",
         "_shape": [],
@@ -71,8 +83,8 @@
     "ent_coef": 0.01,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
-    "batch_size": 64,
-    "n_epochs": 5,
+    "batch_size": 32,
+    "n_epochs": 4,
     "clip_range": {
         ":type:": "<class 'function'>",
         ":serialized:": "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"
@@ -82,6 +94,6 @@
     "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 sha256:5d4ecbb7f4ed2f30df64ece5a527b9a4eea495f1593a8bb4b7f1d74f2b20753a
-size 88490
+oid sha256:081c6ad9bef879d1e4665954d71744cb55bf8c2b715e88f08e116ddc7e6cf837
+size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62ce5ec117b7b5b92b016fe128deeca1a060d32c83c34612e80644a95a322bda
+oid sha256:a31a860c6c90db325e85b0f23117b70c07cac2ca89528cf664f9883df9f58e92
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": 260.94367497849385, "std_reward": 19.346288378819274, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-07-03T15:57:27.523835"}
+{"mean_reward": 268.56252611803455, "std_reward": 23.201935649157402, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-07-04T14:36:58.546806"}