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Implementations of deep RL algorithms based on Berkeleys CS294

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Deep reinforcement algorithms

Implementations of classic Deep RL algorithms, mostly based on CS 294: Deep Reinforcement Learning at Berekley

Current state:

  • Policy Gradient:

    Basically my solution to heavily refactored CS294 second homework. Tensorflow ლ(ಠ益ಠლ)
    
  • DQN

    Still based on CS294 but implemented in  PyTorch ✧゚・: *ヽ(◕ヮ◕ヽ)
    
    • Discrete action space
    • Continous action space

Solved classic control environments:

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Implementations of deep RL algorithms based on Berkeleys CS294

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