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TSMC
2008
229views more  TSMC 2008»
14 years 10 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
AAI
1998
112views more  AAI 1998»
14 years 9 months ago
The Robocup Physical Agent Challenge: Phase I
Traditional AI research has not given due attention to the important role that physical bodies play for agents as their interactions produce complex emergent behaviors to achieve ...
Minoru Asada, Peter Stone, Hiroaki Kitano, Barry B...
ATAL
2006
Springer
15 years 1 months ago
Accident or intention: that is the question (in the Noisy Iterated Prisoner's Dilemma)
This paper focuses on the Noisy Iterated Prisoner's Dilemma, a version of the Iterated Prisoner's Dilemma (IPD) in which there is a nonzero probability that a "coop...
Tsz-Chiu Au, Dana S. Nau
ATAL
2010
Springer
14 years 10 months ago
Evaluating models of speaker head nods for virtual agents
Virtual human research has often modeled nonverbal behaviors based on the findings of psychological research. In recent years, however, there have been growing efforts to use auto...
Jina Lee, Zhiyang Wang, Stacy Marsella
ATAL
2010
Springer
14 years 11 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone