Title: Discounted Deterministic Markov Decision Processes

Name: Uri Zwick

               Tel Aviv University, Israel

Time:October 15th (Wednesday) 11:15-12:00
Location: Lecture Hall, FIT Building, Tsinghua University
Host Unit: ITCS, Tsinghua University




Abstract

We present an O(mn)-time algorithm for finding optimal strategies for discounted, infinite-horizon, Deterministic Markov Decision Processes (DMDP), where n is the number of vertices (or states) and m is the number of edges (or actions). This improves a recent O(mn^2)-time algorithm of Andersson and Vorobyov.

Joint work with Omid Madani and Mikkel Thorup.


Biography


Uri Zwick received his B.Sc. degree in Computer Science from the Technion, Israel Institute of Technology, and his M.Sc. and Ph.D. degrees in Computer Science from Tel Aviv University. He is currently a Professor of Computer Science in Tel Aviv University. His main research interests are: algorithms and complexity, combinatorial optimization, mathematical games, and recreational mathematITCS.

 


Back