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Grid World - Reinforcement Learning

gridworld

This repository contains implementations of RL techniques on a Grid World:

  • Markov Decision Process

    • Policy Evaluation
    • Policy Iteration
    • Value Iteration
  • Model Free

    • First Visit Monte Carlo (MC) Policy Evaluation
    • Temporal Difference (TD) Estimation
    • On policy ε-greedy First Visit MC control
    • MC ε-greedy First Visit Iterative Optimisation
    • SARSA: On-policy TD control
    • Q-Learning: Off-policy TD control

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