Reinforcement Learning in Biological and Artificial Agents

4 units · Undergraduate upper division (100-199)

Lecture, three hours. Requisite: course 115. Recommended: course 119D. Introduction to fundamental principles of reinforcement learning theory, integrating biological and engineering perspectives. Review of brain systems that contribute to reinforcement learning and decision making. Introduction to common artificial intelligence algorithms for reinforcement learning. Comparative analysis of biological versus artificial reinforcement learning architectures. P/NP or letter grading.