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cleanrl-ppo-LunarLander-v3

Reinforcement Learning

Eval Results (legacy)

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CleanRL PPO Agent playing LunarLander-v3

This is a trained model of a PPO agent playing LunarLander-v3 implemented from scratch using PyTorch CleanRL.

Evaluation Results

Mean Reward: 43.86 +/- 129.36

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Reinforcement Learning

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Evaluation results

mean_reward on LunarLander-v3
self-reported

43.86 +/- 129.36