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ATAL
2009
Springer
16 years 1 months ago
An empirical analysis of value function-based and policy search reinforcement learning
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...
Shivaram Kalyanakrishnan, Peter Stone
ATAL
2007
Springer
16 years 1 months ago
Bidding algorithms for a distributed combinatorial auction
Distributed allocation and multiagent coordination problems can be solved through combinatorial auctions. However, most of the existing winner determination algorithms for combina...
Benito Mendoza García, José M. Vidal
ATAL
2007
Springer
16 years 1 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
ATAL
2007
Springer
16 years 1 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
ATAL
2005
Springer
16 years 24 days 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
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