AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents.
Publication
, Conference
Conitzer, V; Sandholm, T
Published in: ICML
2003
Duke Scholars
Published In
ICML
ISBN
1-57735-189-4
Publication Date
2003
Start / End Page
83 / 90
Publisher
AAAI Press
Citation
APA
Chicago
ICMJE
MLA
NLM
Conitzer, V., & Sandholm, T. (2003). AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. In T. Fawcett & N. Mishra (Eds.), ICML (pp. 83–90). AAAI Press.
Conitzer, Vincent, and Tuomas Sandholm. “AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents.” In ICML, edited by Tom Fawcett and Nina Mishra, 83–90. AAAI Press, 2003.
Conitzer V, Sandholm T. AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. In: Fawcett T, Mishra N, editors. ICML. AAAI Press; 2003. p. 83–90.
Conitzer, Vincent, and Tuomas Sandholm. “AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents.” ICML, edited by Tom Fawcett and Nina Mishra, AAAI Press, 2003, pp. 83–90.
Conitzer V, Sandholm T. AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. In: Fawcett T, Mishra N, editors. ICML. AAAI Press; 2003. p. 83–90.
Published In
ICML
ISBN
1-57735-189-4
Publication Date
2003
Start / End Page
83 / 90
Publisher
AAAI Press