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IWANN
1999
Springer
14 years 17 days ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
PPSN
1998
Springer
14 years 16 days ago
1998
Springer
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
IAT
2006
IEEE
14 years 2 months ago
2006
IEEE
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
ICC
2007
IEEE
14 years 2 months ago
2007
IEEE
—Layered streaming is an effective solution to address the receiver heterogeneity in peer-to-peer (P2P) multimedia distribution. This paper targets a fundamental challenge in thi...