Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027

SDSU CS 654 — Reinforcement Learning

Reinforcement Learning studies sequential decision-making to maximize cumulative rewards. Widely applied in robotics, finance, healthcare, etc., this course covers topics like Markov decision processes, value-based RL, actor-critic methods, policy gradients, and imitation learning, with practical projects.