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201
Voted
ATAL
2009
Springer
16 years 1 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
192
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ATAL
2007
Springer
16 years 1 months ago
2007
Springer
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...
203
Voted
ATAL
2007
Springer
16 years 1 months ago
2007
Springer
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...
212
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ATAL
2005
Springer
16 years 17 days ago
2005
Springer
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...
180
click to vote
ATAL
2005
Springer
16 years 17 days ago
2005
Springer
The rapid changing business environment of high-tech asset intensive enterprises such as semiconductor manufacturing constantly drives production managers to look for better solut...