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An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay

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PER-NAF

An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay

Summary

Thanks openAI and Kim!

Some Advices from experience in RL

  • Normalize the state and action space as well as the reward is a good practice
  • Visualise as much as possible to get an intuition about the method as possible bugs
  • If it does not make sense it is a bug with very high probability

Coding makes happy 🙃

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An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay

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