Advanced Topics in Learning and Decision Making (same as CS281B)

Instructor:     WAINWRIGHT, M J

Location:     MW 1-230P, 330 EVANS

 

Prerequisites: C241A, Computer Science C281A.
       

Course 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 Computer Science C281B.