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» Opponent Modeling in Poker
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ICRA
2003
IEEE
111views Robotics» more  ICRA 2003»
14 years 1 months ago
Multi-robot team response to a multi-robot opponent team
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ra...
James Bruce, Michael H. Bowling, Brett Browning, M...
SAB
2010
Springer
128views Optimization» more  SAB 2010»
13 years 6 months ago
Simulation of How Neuromodulation Influences Cooperative Behavior
Abstract. Neuromodulators can have a strong effect on how organisms cooperate and compete for resources. To better understand the effect of neuromodulation on cooperative behavior,...
Andrew Zaldivar, Derrik E. Asher, Jeffrey L. Krich...
COLCOM
2008
IEEE
14 years 2 months ago
Learning Models of the Negotiation Partner in Spatio-temporal Collaboration
Abstract. We describe an approach for learning the model of the opponent in spatio-temporal negotiation. We use the Children in the Rectangular Forest canonical problem as an examp...
Yi Luo, Ladislau Bölöni
ATAL
2010
Springer
13 years 9 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings
CIG
2006
IEEE
14 years 1 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone