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ATAL
2010
Springer
15 years 8 days ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
AAAI
2007
15 years 1 months ago
Data Structures for Generalised Arc Consistency for Extensional Constraints
Extensional (table) constraints are an important tool for attacking combinatorial problems with constraint programming. Recently there has been renewed interest in fast propagatio...
Ian P. Gent, Christopher Jefferson, Ian Miguel, Pe...
ML
2006
ACM
113views Machine Learning» more  ML 2006»
14 years 11 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
ICLP
2003
Springer
15 years 4 months ago
Concurrency, Time, and Constraints
Concurrent constraint programming (ccp) is a model of concurrency for systems in which agents (also called processes) interact with one another by telling and asking information in...
Frank D. Valencia
INFORMATICALT
2000
96views more  INFORMATICALT 2000»
14 years 11 months ago
Computing True Shadow Prices in Linear Programming
It is well known that in linear programming, the optimal values of the dual variables can be interpreted as shadow prices (marginal values) of the right-hand side coefficients. How...
James K. Ho