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RL implementations

Simple implementations of RL algorithms in tensorflow or numpy. Note: Used numpy for ARS because it was quicker. Still some clean up work to do. Also additionally, there is a linear regression model, which I found useful to build an understanding of tensorflow.

The requirements.txt states tensorflow not tensorflow-gpu. So if you want to use tensorflow-gpu please install that.

TODO

  • Document everything
  • Normalisation for ARS.
  • Baseline for REINFORCE.
  • DQN variants.
  • PPO.