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Volume 1 / 1986 - Volume 86 / 2012
Special Issue on Learning & Computational Game Theory
Guest Editors: Amy Greenwald and Michael L. Littman
3-6
Editorial
Introduction to the special issue on learning and computational game theory
Amy Greenwald and Michael L. Littman
7-22
Slow emergence of cooperation for win-stay lose-shift on trees
Elchanan Mossel and Sébastien Roch
23-43
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents
Vincent Conitzer and Tuomas Sandholm
45-76
A general criterion and an algorithmic framework for learning in multi-agent systems
Rob Powers, Yoav Shoham and Thuc Vu
77-115
Online calibrated forecasts: Memory efficiency versus universality for learning in games
Shie Mannor, Jeff S. Shamma and Gürdal Arslan
117-143
Bidding agents for online auctions with hidden bids
Albert Xin Jiang and Kevin Leyton-Brown
145-168
Learning payoff functions in infinite games
Yevgeniy Vorobeychik, Michael P. Wellman and Satinder Singh
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