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AAI
1998
112views more  AAI 1998»
14 years 11 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...
JAIR
2002
122views more  JAIR 2002»
14 years 11 months ago
Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems
Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite ...
Moshe Tennenholtz
ATAL
2007
Springer
15 years 6 months ago
Advice taking in multiagent reinforcement learning
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Michael Rovatsos, Alexandros Belesiotis
SIGECOM
2003
ACM
125views ECommerce» more  SIGECOM 2003»
15 years 5 months ago
Complexity of determining nonemptiness of the core
Coalition formation is a key problem in automated negotiation among self-interested agents, and other multiagent applications. A coalition of agents can sometimes accomplish thing...
Vincent Conitzer, Tuomas Sandholm
IJCAI
1993
15 years 1 months ago
Provably Bounded Optimal Agents
Since its inception, arti cial intelligence has relied upon a theoretical foundation centred around perfect rationality as the desired property of intelligent systems. We argue, a...
Stuart J. Russell, Devika Subramanian, Ronald Parr