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Reinforcement Learning

Reinforcement Learning

CS6107 3 hours

Reinforcement Learning

By the end of the course, the student should have a grasp of modern reinforcement learning techniques. The main techniques covered in the course are basic reinforcement learning, dynamic programming, Monte Carlo methods, Q-learning, function approximation, and unsupervised and constructive methods.