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:57 - 5 self

Document Versions

AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response against Stationary Opponents –Vincent Conitzer, Tuomas Sandholm — 2006 — IN PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents –Vincent Conitzer , Tuomas Sandholm — 2007 — MACHINE LEARNING
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents –Vincent Conitzer, Tuomas Sandholm — 2003 — In Proceedings of the 20th International Conference on Machine Learning
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents –Vincent Conitzer, Tuomas Sandholm — 2003 — In Proceedings of the 20th International Conference on Machine Learning
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents –Vincent Conitzer , Tuomas Sandholm — 2006 — MACH LEARN