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Deep reinforcement leanring algorithms implemented in PyTorch

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drl

Deep reinforcement leanring algorithms implemented in PyTorch.

Refactored ShangtongZhang's DeepRL to ease the running and do some optimization. All rights reserved to him.

My contributions are:

  • New implementations of PPO and VPG according to spinningup.
  • Optimize the replay buffer of DQN to reduce the memory footprint (from 16GB memory requiremnt to 1.8GB).

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Deep reinforcement leanring algorithms implemented in PyTorch


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