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RLbasic

This is a repository for implementing RL basic code from David Silver's https://www.davidsilver.uk/teaching/

5MFC.py

  1. GLIE Monte Carlo Control
  2. SARSA
  3. n-step SARSA
  4. backward SARSA
  5. Q-Learning

6VFA.py

  1. GLIE Monte Carlo Control Value Function Approximation
  2. SARSA Value Function Approximation
  3. n-step SARSA Value Function Approximation
  4. backward SARSA Value Function Approximation
  5. Q-Learning Value Function Approximation

7PG.py

  1. Monte Carlo Control Policy
  2. Action Value Actor Critic

8ILP.py

Plot maze with Dyna-Q Algorithm

8ILP_cute.py : maze with cute ver

8ILP_color.py : maze with color ver

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