Justin+A.+Boyan

an American computer scientist and product manager at Google. He holds a B.Sc. in mathematics from [|University of Chicago] in 1991, a [|Master of Philosophy] in [|computer speech] and [|language processing] from [|University of Cambridge] in 1992, and a Ph.D. in computer science from Carnegie Mellon University in 1998, where his advisors include Scott Fahlman and Andrew W. Moore. Until 2000, he was research scientist at [|NASA Ames Research Center] with assignment as visiting scientist to MIT [|AI Lab]. His research interests include artificial intelligence, statistical machine learning, [|information extraction], and [|optimization]. In the early 90s, he wrote software combining temporal difference learning and modular neural networks in order to train an expert-level computer Backgammon player from scratch. His program [|Maestro] placed second at the 4th Computer Olympiad, London 1992. || toc =Selected Publications=
 * Home * People * Justin A. Boyan**
 * [[image:JustinBoyan.jpg link="https://www.linkedin.com/in/boyan/"]] ||~ || **Justin Andrew Boyan**,
 * Justin A. Boyan ||~ ||^ ||
 * Justin A. Boyan (**1992**). //Modular Neural Networks for Learning Context-Dependent Game Strategies//. Master's thesis, [|University of Cambridge], [|pdf]
 * Justin A. Boyan, Michael L. Littman (**1993**). //Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach//. [|NIPS 1993], [|pdf]
 * Justin A. Boyan, Andrew W. Moore (**1994**). //Generalization in Reinforcement Learning: Safely Approximating the Value Function//. [|NIPS 1994], [|pdf]
 * Justin A. Boyan, Andrew W. Moore (**1996**). //Learning Evaluation Functions for Large Acyclic Domains//. [|ICML 1996], [|pdf]
 * Justin A. Boyan (**1996**). //A Reinforcement Learning Framework for Combinatorial Optimization//. AAAI/IAAI-96, Vol. 2, [|pdf]
 * Justin A. Boyan, Andrew W. Moore (**1998**). //Learning Evaluation Functions for Global Optimization and Boolean Satisfiability//. AAAAI/IAAI 1998, [|pdf]
 * Justin A. Boyan (**1998**). //Least-Squares Temporal Difference Learning//. Carnegie Mellon University, CMU-CS-98-152, [|pdf]
 * Justin A. Boyan (**1998**). //Learning Evaluation Functions for Global Optimization//. Ph.D. thesis, Carnegie Mellon University, advisors Scott Fahlman and Andrew W. Moore, [|zipped ps]

=External Links=
 * [|Justin Boyan | LinkedIn]
 * [|Curriculum Vitae - Justin Andrew Boyan]
 * [|Justin Boyan - Google+]
 * [|Justin Boyan (@jboyan) | Twitter]
 * [|Justin Boyan's ICGA Tournaments]
 * [|Justin Boyan - The Mathematics Genealogy Project]

=References= =What links here?= include page="Justin A. Boyan" component="backlinks" limit="60"