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RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB

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Reinforcement Learning algorithms - Monte-Carlo and Q-Learning methods - implemented on MATLAB

This repository contains codes for a gridworld problem and the classical mountain car problem. It was a part of the course: AER1517 Control for Robotics, taught by Dr. Angela Schoellig at University of Toronto - Institute of Aerospace Studies.

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RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB

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