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AAMAS
2007
Springer
15 years 6 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
2010
99views more  AUTOMATICA 2010»
15 years 6 months ago
Two nonlinear optimization methods for black box identification compared
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
Anne Van Mulders, Johan Schoukens, Marnix Volckaer...
BC
2008
134views more  BC 2008»
15 years 6 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb...
CSDA
2008
86views more  CSDA 2008»
15 years 6 months ago
Transformations for semi-continuous data
Semi-continuous data arise in many applications where naturally-continuous data become contaminated by the data generating mechanism. The resulting data contain several values tha...
Galit Shmueli, Wolfgang Jank, Valerie Hyde
IJHPCN
2006
151views more  IJHPCN 2006»
15 years 6 months ago
Adaptive local searching and caching strategies for on-demand routing protocols in ad hoc networks
: On-demand routing protocols are widely used in mobile ad hoc networks due to their capability of adjusting to frequent network topology changes within acceptable routing overhead...
Zhao Cheng, Wendi B. Heinzelman