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ICML
1996
IEEE
13 years 11 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
AUTOMATICA
2005
86views more  AUTOMATICA 2005»
13 years 7 months ago
Sensitivity shaping with degree constraint by nonlinear least-squares optimization
This paper presents a new approach to shaping of the frequency response of the sensitivity function. In this approach, a desired frequency response is assumed to be specified at a...
Ryozo Nagamune, Anders Blomqvist
QUESTA
1998
93views more  QUESTA 1998»
13 years 7 months ago
An approximation method for complete solutions of Markov-modulated fluid models
This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
David D. McDonald, Kun Qian
CDC
2008
IEEE
14 years 1 months ago
A monotonic algorithm for the optimal control of the Fokker-Planck equation
— Motivated by some crowd motion models in the presence of noise, we consider an optimal control problem governed by the Fokker-Planck equation. We sketch optimality conditions b...
Guillaume Carlier, Julien Salomon
AES
2007
Springer
141views Cryptology» more  AES 2007»
13 years 7 months ago
Numerical methods for modelling leaching of pollutants in soils
Pesticides used in crop production and herbicides used for weed control are the major source of nonpoint-source pollutants to groundwater. The movement and degradation of pesticid...
M. Isabel Asensio, B. Ayuso, Luis Ferragut, G. San...