PPO Agent Playing LunarLander-v2

This is a trained model of a Proximal Policy Optimization (PPO) agent playing LunarLander-v2 implemented from scratch.

Evaluation Results

  • Mean Reward: -99.33 +/- 40.93
  • Score (mean - std): -140.26 (Required: >= -500.0)
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Evaluation results