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tomasspangelo / proximal-policy-optimization

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An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.

python machine-learning reinforcement-learning entropy deep-learning neural-network optimization gae pytorch rl actor-critic proximal-policy-optimization ppo open-ai open-ai-gym generalized-advantage-estimation ppo-pytorch
  • Updated Dec 26, 2022
  • Python

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