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Searched for: 1 subject found.
6.4110 Representation, Inference, and Reasoning in AI
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Prereq: 6.1010, 6.1210, and (6.3700, 6.3800, 18.05, or 18.600)
Units: 3-0-9
Lecture: MW11-12.30 (45-230) +final
An introduction to representations and algorithms for artificial intelligence. Topics covered include: constraint satisfaction in discrete and continuous problems, logical representation and inference, Monte Carlo tree search, probabilistic graphical models and inference, planning in discrete and continuous deterministic and probabilistic models including Markov decision processes (MDPs) and partially observed Markov decision processes (POMDPs).
L. Kaelbling
No textbook information available
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