Upload PPO LunarLander-v2 trained agent
Browse files- README.md +1 -1
- config.json +1 -1
- ppo-LunarLander-v2_final.zip +3 -0
- ppo-LunarLander-v2_final/_stable_baselines3_version +1 -0
- ppo-LunarLander-v2_final/data +94 -0
- ppo-LunarLander-v2_final/policy.optimizer.pth +3 -0
- ppo-LunarLander-v2_final/policy.pth +3 -0
- ppo-LunarLander-v2_final/pytorch_variables.pth +3 -0
- ppo-LunarLander-v2_final/system_info.txt +7 -0
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: 284.39 +/- 24.50
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name: mean_reward
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verified: false
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---
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config.json
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If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f84226278b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8422627940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f84226279d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8422627a60>", "_build": "<function 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ppo-LunarLander-v2_final/policy.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:09a471f90791c1dbaa8880252777d632320f497cde00ecf40100af3670aea07c
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size 43073
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ppo-LunarLander-v2_final/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
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size 431
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ppo-LunarLander-v2_final/system_info.txt
ADDED
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OS: Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022
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+
Python: 3.8.15
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+
Stable-Baselines3: 1.6.2
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+
PyTorch: 1.13.0+cu116
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GPU Enabled: False
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+
Numpy: 1.21.6
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7 |
+
Gym: 0.21.0
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replay.mp4
CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
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results.json
CHANGED
@@ -1 +1 @@
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-
{"mean_reward":
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+
{"mean_reward": 284.3945536593277, "std_reward": 24.499189465641717, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-08T14:59:19.119264"}
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