AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response against Stationary Opponents (2006)

by Vincent Conitzer , Tuomas Sandholm
Venue:IN PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING
Citations:80 - 5 self

Active Bibliography

Economics of Distributed Web Search: A Machine Learning Approach – Rinat Khoussainov - 2004
6 BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games – Vincent Conitzer , Tuomas Sandholm - 2003
2 Algorithms for abstracting and solving imperfect information games – Andrew Gilpin - 2007
25 Existence of multiagent equilibria with limited agents – Michael Bowling, Manuela Veloso - 2002
3 Reinforcement Learning Without Rewards – Umar Ali Syed - 2010
45 Efficient learning equilibrium – Ronen I. Brafman, Moshe Tennenholtz - 2002
Satisficing Multi-Agent Learning: A Simple But Powerful Algorithm – Jacob W. Crandall, Michael A. Goodrich - 2008
108 Nash Q-Learning for General-Sum Stochastic Games – Junling Hu , Michael P. Wellman - 2003
Improving Convergence Rates in Multiagent Learning Through Experts and Adaptive Consultation ∗ – Greg Hines, Kate Larson
73 If multi-agent learning is the answer, what is the question? – Yoav Shoham, Rob Powers, Trond Grenager - 2007
9 Optimal efficient learning equilibrium: Imperfect monitoring in symmetric games – Ronen I. Brafman, Moshe Tennenholtz - 2005
Multiagent Learning in the Presence of Memory-Bounded Agents – Doran Chakraborty, Peter Stone
66 Convergence and no-regret in multiagent learning – Michael Bowling - 2005
Comparative Evaluation of MAL Algorithms in a Diverse Set of Ad Hoc Team Problems – Stefano V. Albrecht, et al. - 2012
12 Communication Complexity as a Lower Bound for Learning in Games – Vincent Conitzer , Tuomas Sandholm - 2004
56 Correlated Q-learning – Amy Greenwald, Martin Zinkevich, Pack Kaelbling - 2003
7 Computing equilibria: A computational complexity perspective – Tim Roughgarden - 2009
International Foundation for Autonomous Agents and Multiagent Systems – Volume I Ifaamas - 2012
Just Add Pepper: Extending Learning Algorithms for Repeated Matrix Games to Repeated Markov Games – Jacob W. Crandall