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JAIR
2002
106views more  JAIR 2002»
13 years 9 months ago
Collective Intelligence, Data Routing and Braess' Paradox
We consider the problem of designing the the utility functions of the utility-maximizing agents in a multi-agent system (MAS) so that they work synergistically to maximize a globa...
David Wolpert, Kagan Tumer
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 7 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
ATAL
2003
Springer
14 years 3 months ago
Coordination in multiagent reinforcement learning: a Bayesian approach
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Georgios Chalkiadakis, Craig Boutilier
AIPS
2003
13 years 11 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
ATAL
2007
Springer
14 years 4 months ago
Children in the forest: towards a canonical problem of spatio-temporal collaboration
Canonical problems are simplified representations of a class of real world problems. They allow researchers to compare algorithms in a standard setting which captures the most im...
Yi Luo, Ladislau Bölöni