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CS 224M: Multi-Agent Systems

For advanced undergraduates, and M.S. and beginning Ph.D. students. The course serves primarily as an introduction to game theory, including computational aspects. Topics: basic game representations and solution concepts, social choice and mechanism design, multi-agent learning, communication. Applications discussed as appropriate; emphasis is on conceptual matters and theoretical foundations. Prerequisites: very basic probability theory and optimization.
Terms: not given this year | Units: 3 | Grading: Letter or Credit/No Credit
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