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» On the Convergence of Bound Optimization Algorithms
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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 7 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
AAMAS
2010
Springer
15 years 6 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
COLT
2004
Springer
15 years 12 months ago
Polynomial Time Prediction Strategy with Almost Optimal Mistake Probability
We give the first polynomial time prediction strategy for any PAC-learnable class C that probabilistically predicts the target with mistake probability poly(log(t)) t = ˜O 1 t w...
Nader H. Bshouty
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 1 days ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
CORR
2006
Springer
189views Education» more  CORR 2006»
15 years 6 months ago
Node-Based Optimal Power Control, Routing, and Congestion Control in Wireless Networks
Abstract--In wireless networks, important network functionalities such as power control, rate allocation, routing, and congestion control must be optimized in a coherent and integr...
Yufang Xi, Edmund M. Yeh