Volume 67,
Numbers 1-2,
May 2007
Special Issue on Learning & Computational Game Theory
- Amy R. Greenwald, Michael L. Littman:
Introduction to the special issue on learning and computational game theory.
3-6
Electronic Edition (link) BibTeX
- Elchanan Mossel, Sébastien Roch:
Slow emergence of cooperation for win-stay lose-shift on trees.
7-22
Electronic Edition (link) BibTeX
- Vincent Conitzer, Tuomas Sandholm:
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents.
23-43
Electronic Edition (link) BibTeX
- Rob Powers, Yoav Shoham, Thuc Vu:
A general criterion and an algorithmic framework for learning in multi-agent systems.
45-76
Electronic Edition (link) BibTeX
- Shie Mannor, Jeff S. Shamma, Gürdal Arslan:
Online calibrated forecasts: Memory efficiency versus universality for learning in games.
77-115
Electronic Edition (link) BibTeX
- Albert Xin Jiang, Kevin Leyton-Brown:
Bidding agents for online auctions with hidden bids.
117-143
Electronic Edition (link) BibTeX
- Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh:
Learning payoff functions in infinite games.
145-168
Electronic Edition (link) BibTeX
Volume 67,
Number 3,
June 2007
Copyright © Tue Nov 18 20:43:33 2008
by Michael Ley (ley@uni-trier.de)
