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ATAL
2007
Springer
15 years 3 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
103
Voted
ATAL
2007
Springer
15 years 3 months ago
A complete distributed constraint optimization method for non-traditional pseudotree arrangements
Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...
James Atlas, Keith Decker
MDAI
2007
Springer
15 years 3 months ago
Voting in the Medieval Papacy and Religious Orders
We take institutions seriously as both a rational response to dilemmas in which agents found themselves and a frame to which later rational agents adapted their behaviour in turn....
Ian McLean, Haidee Lorrey, Josep Colomer
SIGECOM
2006
ACM
143views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
The computational complexity of nash equilibria in concisely represented games
Games may be represented in many different ways, and different representations of games affect the complexity of problems associated with games, such as finding a Nash equilib...
Grant Schoenebeck, Salil P. Vadhan
ATAL
2005
Springer
15 years 3 months ago
Decentralized voting with unconditional privacy
The aggregation of conflicting preferences is a key issue in multiagent systems. Due to its universality, voting has a central role among preference aggregation mechanisms. Votin...
Felix Brandt, Tuomas Sandholm