PSYCH 119GReinforcement Learning in Biological and Artificial Agents
Psychology · 4 units · Undergraduate upper division (100-199)
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.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: course 115.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
PSYCH 119G
- PSYCH 115Principles of Behavioral Neuroscience
- PSYCH 100APsychological Statistics
- PSYCH 10Introductory Psychology
- COMPTNG 10AIntroduction to Programming
- STATS 10Introduction to Statistical Reasoning
- LIFESCI 7ACell and Molecular Biology
- LIFESCI 15Life: Concepts and Issues
1 direct requisite. The whole upstream is here — 7 courses over 3 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.