train RL Agent for Lunar Lander environment
Browse files- README.md +1 -1
- ppo-LunarLander-v2.zip +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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@@ -16,7 +16,7 @@ model-index:
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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: 289.98 +/- 12.62
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name: mean_reward
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verified: false
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---
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ppo-LunarLander-v2.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 147090
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version https://git-lfs.github.com/spec/v1
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oid sha256:44430842dab9705fd6a816ffd6c49be499a770ab0394d0822c5fd2a8b9641b44
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size 147090
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replay.mp4
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Binary files a/replay.mp4 and b/replay.mp4 differ
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results.json
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{"mean_reward":
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{"mean_reward": 289.98059729238304, "std_reward": 12.61605677087679, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-20T16:55:01.591795"}
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