Reinforcement Learning

3 Credits

Algorithms for automated learning from interactions with the environment to optimize long-term performance. Markov decision processes, dynamic programming, temporal-difference learning, Monte Carlo reinforcement learning methods. Credit will not be given for both CSE 337 and CSE 437 . Prerequisites: ( MATH 231 or ECO 045 ) and CSE 109 Attribute/Distribution: Q