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:81 - 5 self

Active Bibliography

Apprentissage Multi-Agent (AMA) – Bruno Bouzy - 2007
unknown title – Tuomas Sandholm
Performance Bounded Reinforcement Learning in Strategic Interactions – unknown authors
Economics of Distributed Web Search: A Machine Learning Approach – Rinat Khoussainov - 2004
523 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
45 Efficient learning equilibrium – Ronen I. Brafman, Moshe Tennenholtz - 2002
25 Existence of multiagent equilibria with limited agents – Michael Bowling, Manuela Veloso - 2002
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