HomeAdvanced Topics in Learning and Decision Making
Advanced Topics in Learning and Decision Making
CS 281B
Instructor: WAINWRIGHT, M J
Location: MW 1-230P, 330 EVANS
Prerequisites: C281A, Statistics C241A.
Description: Recent topics include: Graphical models and approximate inference algorithms. Markov chain Monte Carlo, mean field and probability propagation methods. Model selection and stochastic realization. Bayesian information theoretic and structural risk minimization approaches. Markov decision processes and partially observable Markov decision processes. Reinforcement learning. Also listed as Statistics C241B.