Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 227.63 +/- 66.34
+      value: 222.01 +/- 58.82
       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 0x7f885bf15e50>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f885bf15ee0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f885bf15f70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f885bf16040>", "_build": "<function ActorCriticPolicy._build at 0x7f885bf160d0>", "forward": "<function ActorCriticPolicy.forward at 0x7f885bf16160>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f885bf161f0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f885bf16280>", "_predict": "<function ActorCriticPolicy._predict at 0x7f885bf16310>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f885bf163a0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f885bf16430>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f885bf164c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f885bf17340>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 1, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678329806010373446, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAFBZVr5sdus8rb/zulWKszlINYW+Qqc2OgAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": -0.00044800000000000395, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 3908, "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:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
+{"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 0x7f885bf15e50>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f885bf15ee0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f885bf15f70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f885bf16040>", "_build": "<function ActorCriticPolicy._build at 0x7f885bf160d0>", "forward": "<function ActorCriticPolicy.forward at 0x7f885bf16160>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f885bf161f0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f885bf16280>", "_predict": "<function ActorCriticPolicy._predict at 0x7f885bf16310>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f885bf163a0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f885bf16430>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f885bf164c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f885bf17340>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 1, "num_timesteps": 500736, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678332285595028796, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAWyrL6YhA8/Qmt0PUn6m74TYwu+lPC0PQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": -0.0014719999999999178, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 5864, "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, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bd7dfc3a892dc87a3388e3daaabc09cca6e648806fefa6365e263b36b0d520f6
-size 146767
+oid sha256:e8adb185be82239ede1eda7e1254dcce9d33a5492d8c2259ac7958b81e7c02e1
+size 146744

ppo-LunarLander-v2/data

@@ -43,12 +43,12 @@
         "_np_random": null
     },
     "n_envs": 1,
-    "num_timesteps": 1000448,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 500736,
+    "_total_timesteps": 500000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1678329806010373446,
+    "start_time": 1678332285595028796,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -57,7 +57,7 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAFBZVr5sdus8rb/zulWKszlINYW+Qqc2OgAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAWyrL6YhA8/Qmt0PUn6m74TYwu+lPC0PQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -67,16 +67,16 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.00044800000000000395,
+    "_current_progress_remaining": -0.0014719999999999178,
     "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": 3908,
+    "_n_updates": 5864,
     "n_steps": 1024,
     "gamma": 0.999,
     "gae_lambda": 0.98,

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:14efa5a17c9570b6bd26fb2357a3eeadc54320082e22269a7a0beb095698b8a5
+oid sha256:014415525555457a3bc9229a1479d122fafb5886322c110aeff6cdf81d0a6a51
 size 87929

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2d696c07c1d18db8cd1100d0ab5f0f2ad0ac8c7107a960ca967b72d2e3981cb
+oid sha256:0146d0621754754558a23f6cde350669585bc53c495a2a4ca63cb69cc0cf4840
 size 43393

results.json

@@ -1 +1 @@
-{"mean_reward": 227.62884374076097, "std_reward": 66.33651909828285, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-09T03:23:19.814323"}
+{"mean_reward": 222.01112289657667, "std_reward": 58.819116686119116, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-09T03:41:44.240028"}