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Basic reinforcement learning implementation with tensorflow version 2.0

Reinforcement Learning with Tensorflow 2.0

Value Based Reinforcement Learning(Click to code)

  • [x] Deep Q Learning

  • [x] Double Deep Q Learning

  • [x] Dueling Deep Q Learning

  • [x] Prioritized Experience Replay

  • [x] Multi Step Learning

  • [x] Implicit Quantile Networks for Distributional Reinforcement Learning

  • [x] DQN, IQN, Double, Dueling, PER, MultiStep

Policy Based Reinforcement Learning(Click to code)

  • [x] Actor Critic

  • [x] Proximal Policy Optimization

Advantage(Click to code)

  • [x] High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference

  1. Deep Q Learning
  2. Double Deep Q Learning
  3. Dueling Deep Q Learning
  4. Prioritized Experience Replay
  5. Actor Critic
  6. Proximal Policy Optimization
  7. High-Dimensional Continuous Control Using Generalized Advantage Estimation
  8. tf2.0-Guide
  9. Implicit Quantile Networks for Distributional Reinforcement Learning
  10. Multi Step Learning