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AAMAS
2007
Springer
13 years 8 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
CSDA
2010
132views more  CSDA 2010»
13 years 8 months ago
Approximate low-rank factorization with structured factors
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
Ivan Markovsky, Mahesan Niranjan
AUTOMATICA
2006
98views more  AUTOMATICA 2006»
13 years 8 months ago
Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
Two integrator backstepping designs are presented for digitally controlled continuous-time plants in special form. The controller designs are based on the Euler approximate discre...
Dragan Nesic, Andrew R. Teel
CPM
2005
Springer
116views Combinatorics» more  CPM 2005»
14 years 1 months ago
Exact and Approximation Algorithms for DNA Tag Set Design
In this paper we propose new solution methods for designing tag sets for use in universal DNA arrays. First, we give integer linear programming formulations for two previous formal...
Ion I. Mandoiu, Dragos Trinca
FOCS
2005
IEEE
14 years 1 months ago
The Closest Substring problem with small distances
In the CLOSEST SUBSTRING problem k strings s1, ..., sk are given, and the task is to find a string s of length L such that each string si has a consecutive substring of length L ...
Dániel Marx