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CS 654 - Reinforcement Learning

CS 654: Reinforcement Learning (3 units) at San Diego State University. Not offered in Spring 2027. Prerequisites: CS 549, graduate standing, or consent of the instructor. Counts toward Artificial Intelligence and Technology, M.S. (2026-27), Computational Science, Data Science Concentration, M.S. (2026-27).

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3 units
  • Elective Courses (9 Units Selected From)
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Offered: Summer 2027 (not offered), Spring 2027 (unknown), Fall 2026 (offered)

Counts toward

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.
Prerequisites
CS 549, graduate standing, or consent of the instructor.

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From the catalog

Who can take it
CS 549, graduate standing, or consent of the instructor.
Grading
LTR: Letter Graded. The class will be offered for letter grade with no option to take it for Cr/NC
Typically offered
Fall

0 sections in Spring 2027

CS 654 is not offered in Spring 2027. Check all CS classes for other terms.