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AAMAS
2007
Springer
15 years 4 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
AUTOMATICA
2007
113views more  AUTOMATICA 2007»
15 years 4 months ago
Active mode observability of switching linear systems
In this paper active mode observability is addressed for a class of discrete-time linear systems that may switch in an unknown and unpredictable way among different modes taken f...
Marco Baglietto, Giorgio Battistelli, Luca Scardov...
IJES
2006
72views more  IJES 2006»
15 years 4 months ago
Non-contiguous linear placement for reconfigurable fabrics
: We present efficient solutions for the non-contiguous linear placement of data-paths for reconfigurable fabrics. A strip-based architecture is assumed for the reconfigurable fabr...
Cristinel Ababei, Kia Bazargan
CSDA
2007
128views more  CSDA 2007»
15 years 4 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
MST
2010
98views more  MST 2010»
15 years 3 months ago
Congestion Games with Linearly Independent Paths: Convergence Time and Price of Anarchy
Abstract. We investigate the effect of linear independence in the strategies of congestion games on the convergence time of best improvement sequences and on the pure Price of Anar...
Dimitris Fotakis