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ATAL
2005
Springer
16 years 12 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
188
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ISAAC
2005
Springer
127views Algorithms» more  ISAAC 2005»
16 years 11 days ago
Decision Making Based on Approximate and Smoothed Pareto Curves
Abstract. We consider bicriteria optimization problems and investigate the relationship between two standard approaches to solving them: (i) computing the Pareto curve and (ii) the...
Heiner Ackermann, Alantha Newman, Heiko Rögli...
207
Voted
WAOA
2005
Springer
177views Algorithms» more  WAOA 2005»
16 years 10 days ago
Approximation and Complexity of k-Splittable Flows
Given a graph with a source and a sink node, the NP–hard maximum k–splittable flow (MkSF) problem is to find a flow of maximum value with a flow decomposition using at most...
Ronald Koch, Martin Skutella, Ines Spenke
RECOMB
1997
Springer
15 years 11 months ago
On the complexity and approximation of syntenic distance
The paper studies the computational complexity and approximation algorithms for a new evolutionary distance between multi-chromosomal genomes introduced recently by Ferretti, Nade...
Bhaskar DasGupta, Tao Jiang, Sampath Kannan, Ming ...
181
Voted
AAAI
2010
15 years 8 months ago
Approximation Algorithms and Mechanism Design for Minimax Approval Voting
We consider approval voting elections in which each voter votes for a (possibly empty) set of candidates and the outcome consists of a set of k candidates for some parameter k, e....
Ioannis Caragiannis, Dimitris Kalaitzis, Evangelos...