Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 237.11 +/- 36.57
+      value: 280.05 +/- 13.09
       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 0x7ac00dd4bd00>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ac00dd4bd90>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ac00dd4be20>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ac00dd4beb0>", "_build": "<function ActorCriticPolicy._build at 0x7ac00dd4bf40>", "forward": "<function ActorCriticPolicy.forward at 0x7ac00db58040>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ac00db580d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ac00db58160>", "_predict": "<function ActorCriticPolicy._predict at 0x7ac00db581f0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ac00db58280>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ac00db58310>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ac00db583a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ac00dce7080>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1716859433585555128, "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:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=", "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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "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 0x7b143616c4c0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b143616c550>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b143616c5e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b143616c670>", "_build": "<function ActorCriticPolicy._build at 0x7b143616c700>", "forward": "<function ActorCriticPolicy.forward at 0x7b143616c790>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b143616c820>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b143616c8b0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b143616c940>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b143616c9d0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b143616ca60>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b143616caf0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b1436116900>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1503232, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1716917051098470062, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAIAlN77+rSU/Xm4hPlcxmL4WWLO8NWnePAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.002154666666666749, "_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": 1468, "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:": "gAWVpAEAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlIwUbnVtcHkucmFuZG9tLl9waWNrbGWUjBBfX2dlbmVyYXRvcl9jdG9ylJOUjAVQQ0c2NJRoG4wUX19iaXRfZ2VuZXJhdG9yX2N0b3KUk5SGlFKUfZQojA1iaXRfZ2VuZXJhdG9ylIwFUENHNjSUjAVzdGF0ZZR9lChoJooRV84T7Me/Lu0146La3HVHhgCMA2luY5SKEPlJNNomPa7CHLnQZx/ajnF1jApoYXNfdWludDMylEsBjAh1aW50ZWdlcpSKBbGWWJsAdWJ1Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 1, "n_steps": 4096, "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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "False", "Numpy": "1.25.2", "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 sha256:3614509b632e989af319ca3efe00985aa440c70735024b1f2f3ad2a666e39b73
-size 148080
+oid sha256:925a38874e39778db012a607aa42e59e6125f6682c3a4dbe7bbc40c1dfe5f216
+size 147381

ppo-LunarLander-v2/data

@@ -4,57 +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 0x7ac00dd4bd00>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ac00dd4bd90>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ac00dd4be20>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ac00dd4beb0>",
-        "_build": "<function ActorCriticPolicy._build at 0x7ac00dd4bf40>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7ac00db58040>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ac00db580d0>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ac00db58160>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7ac00db581f0>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ac00db58280>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ac00db58310>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ac00db583a0>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7b143616c4c0>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b143616c550>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b143616c5e0>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b143616c670>",
+        "_build": "<function ActorCriticPolicy._build at 0x7b143616c700>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7b143616c790>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b143616c820>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b143616c8b0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7b143616c940>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b143616c9d0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b143616ca60>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b143616caf0>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x7ac00dce7080>"
+        "_abc_impl": "<_abc._abc_data object at 0x7b1436116900>"
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 1015808,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 1503232,
+    "_total_timesteps": 1500000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1716859433585555128,
+    "start_time": 1716917051098470062,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAALMWOD5Qtp0+SJ5bvjPDAL7qsEu9Mg8/OwAAAAAAAAAApkVHvvYpsj9eFiu/xJiWvqWAb77iFCG+AAAAAAAAAABm5+i9r9UDP8LLrT12eRu+sQm8PLykiz0AAAAAAAAAAIDvp707HcU+xAEmvW+UhL7ruJm870O4vAAAAAAAAAAApprJvex57rkZMoe73kP9NeX9hrpu6546AACAPwAAgD+a41G8Kbh8ulJi4Trv4pk1Lao2un5QA7oAAIA/AACAPzNLFzsfxcw4Fnyxu/BUiTbzONo76kEDtgAAgD8AAIA/jTzVPel+ij5lva+9uyEUvkUswjxf5qs9AAAAAAAAAADNXH89XBMaumcyqLtVR044obi9Oo4+TDgAAIA/AACAP0DwhD2P1ma6yN98OP6DmjRuJUU7G+KRtwAAgD8AAIA/AEWNvVzXGboOToq44Pk/s3CthbudVaQ3AACAPwAAgD+aU7E9uI7SubvECbsG4zK2+tECO27jJjoAAAAAAACAP8C/lj0pzCa6geqaO3X1uDdRIg47JqqWNgAAgD8AAIA/IyCWPmW3hj/efIQ+kn+GvgELZD4q+1i9AAAAAAAAAACaveI7KfB0uqWqGbxfh0s2e18PN7vwurUAAIA/AACAPzOq9LzDHWm6u29NOqZcNDVbHCW7YChxuQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAIAlN77+rSU/Xm4hPlcxmL4WWLO8NWnePAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
     },
     "_last_original_obs": null,
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.015808000000000044,
+    "_current_progress_remaining": -0.002154666666666749,
     "_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": 248,
+    "_n_updates": 1468,
     "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]",
@@ -65,19 +65,19 @@
         "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
+        "_np_random": "Generator(PCG64)"
     },
     "action_space": {
         ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
-        ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
+        ":serialized:": "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",
         "n": "4",
         "start": "0",
         "_shape": [],
         "dtype": "int64",
-        "_np_random": null
+        "_np_random": "Generator(PCG64)"
     },
-    "n_envs": 16,
-    "n_steps": 1024,
+    "n_envs": 1,
+    "n_steps": 4096,
     "gamma": 0.999,
     "gae_lambda": 0.98,
     "ent_coef": 0.01,

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2c1090e79d6e74140a3d6a09050091a217bb34045da81a23fa81005988a8971
-size 88362
+oid sha256:46a562ff5a3ee4c08db81970467b04f916d5456e434a844bcef62a37fb2739fc
+size 87978

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:782b9728a44ce341c5d67ac5f82e41de1aa46a6dd37775d7998e9944c2f615ca
-size 43762
+oid sha256:ebf8f1f08050b2006665dfb3fd22a2799a78e776b06ff4db51a8f01a273a1e53
+size 43634

ppo-LunarLander-v2/system_info.txt

@@ -2,7 +2,7 @@
 - Python: 3.10.12
 - Stable-Baselines3: 2.0.0a5
 - PyTorch: 2.3.0+cu121
-- GPU Enabled: True
+- GPU Enabled: False
 - Numpy: 1.25.2
 - Cloudpickle: 2.2.1
 - Gymnasium: 0.28.1

results.json

@@ -1 +1 @@
-{"mean_reward": 237.11464139999998, "std_reward": 36.573475473550324, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-28T01:48:16.849718"}
+{"mean_reward": 280.05293689999996, "std_reward": 13.092630536653711, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-28T18:04:55.589163"}