Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -434.52 +/- 87.27
+      value: -300.78 +/- 110.05
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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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 0x7f9b824a80d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9b824a8160>", "reset_noise": 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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 0x7ff8260dbe20>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff8260dbeb0>", "reset_noise": 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ppo-LunarLander-v2.zip

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ppo-LunarLander-v2/data

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         "__module__": "stable_baselines3.common.policies",
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-        "forward": "<function ActorCriticPolicy.forward at 0x7f9b824a83a0>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f9b824a8430>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f9b824a84c0>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7f9b824a8550>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f9b824a85e0>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f9b824a8670>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f9b824a8700>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7ff8260dbe20>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff8260dbeb0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff8260dbf40>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff8260e0040>",
+        "_build": "<function ActorCriticPolicy._build at 0x7ff8260e00d0>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7ff8260e0160>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff8260e01f0>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff8260e0280>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7ff8260e0310>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff8260e03a0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff8260e0430>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff8260e04c0>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc_data object at 0x7f9b8249fbd0>"
+        "_abc_impl": "<_abc._abc_data object at 0x7ff8260d2d80>"
     },
     "verbose": 1,
     "policy_kwargs": {},
@@ -53,7 +53,7 @@
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     "_last_obs": null,
     "_last_episode_starts": null,
@@ -75,7 +75,7 @@
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ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a2df724651d2aeb2c777045c4fc4f064b0389820aace6b9d2a586a7d3eecf58
+oid sha256:2bf051fb733d59a84fbf59ef94c17f1a5b6aafa7d7bc10cef7929e6e8ab1b77a
 size 43393

ppo-LunarLander-v2/system_info.txt

@@ -1,7 +1,7 @@
-- OS: Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
-- Python: 3.8.10
+- OS: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Jan 27 02:56:13 UTC 2023
+- Python: 3.10.9
 - Stable-Baselines3: 1.7.0
-- PyTorch: 1.13.1+cu116
+- PyTorch: 1.13.1+cu117
 - GPU Enabled: True
-- Numpy: 1.22.4
+- Numpy: 1.24.2
 - Gym: 0.21.0

results.json

@@ -1 +1 @@
-{"mean_reward": -434.5211970140575, "std_reward": 87.2689712799736, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-04T02:18:26.452027"}
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