CS 4880 - Reinforcement Learning

3 Credits (Minimum) 3 Credits (Maximum)

Markov Decision Processes, Dynamic Programming, Monte Carlo Methods, Temporal Difference Learning, Q-learning, Reinforcement Learning with Function Approximation: DQN, Double DQN, Eligibility Traces, Policy Search Methods, Monte Carlo Tree Search. Prer., CS 2150 or MATH 2150 with a grade of “C” or better; CS 2300 or MATH 3130 with a grade of “C” or better; and CS 3160 with a grade of “C” or better. Meets with CS 5880.