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ICML
2006
IEEE
16 years 7 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
AINA
2008
IEEE
16 years 1 months ago
Wireless Sensor Network for Localized Maritime Monitoring
In this paper, we propose a novel routing algorithm for maritime monitoring of short term events where large area monitoring relies on small buoys drifting along with local curren...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 10 months ago
3D airspace sectoring by evolutionary computation: real-world applications
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed me...
Daniel Delahaye, Stephane Puechmorel
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
15 years 7 months ago
Recursive least squares and quadratic prediction in continuous multistep problems
XCS with computed prediction, namely XCSF, has been recently extended in several ways. In particular, a novel prediction update algorithm based on recursive least squares and the ...
Daniele Loiacono, Pier Luca Lanzi