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ICML
1996
IEEE
15 years 6 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
MANSCI
2008
89views more  MANSCI 2008»
15 years 1 months ago
Research Note - When Is Versioning Optimal for Information Goods?
This paper provides insights about when versioning is an optimal strategy for information goods. Our characterization of this class of goods is that variable costs are invariant w...
Hemant K. Bhargava, Vidyanand Choudhary
CEC
2010
IEEE
15 years 3 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...
CORR
2010
Springer
106views Education» more  CORR 2010»
14 years 10 months ago
Optimal measures and transition kernels
Abstract. We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on infor...
Roman V. Belavkin
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 8 months ago
Continuous path planning for a data harvesting mobile server
— We consider a queueing system composed of queues distributed at fixed locations in a continuous environment and a mobile server serving the jobs in the queues with spatially v...
Jerome Le Ny, Munther A. Dahleh, Eric Feron, Emili...