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» Q-learning and Pontryagin's Minimum Principle
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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
13 years 10 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
SIAMCO
2000
148views more  SIAMCO 2000»
13 years 5 months ago
Pontryagin's Principle For Local Solutions of Control Problems with Mixed Control-State Constraints
This paper deals with optimal control problems of semilinear parabolic equations with pointwise state constraints and coupled integral state-control constraints. We obtain necessar...
E. Casas, J. P. Raymond, H. Zidani
AUTOMATICA
2008
118views more  AUTOMATICA 2008»
13 years 5 months ago
Optimally switched linear systems
In this paper we address the problem of optimal switching for switched linear systems. The uniqueness of our approach lies in describing the switching action by multiple control i...
Tuhin Das, Ranjan Mukherjee
ICRA
2007
IEEE
154views Robotics» more  ICRA 2007»
13 years 11 months ago
Minimum Wheel-Rotation Paths for Differential Drive Mobile Robots Among Piecewise Smooth Obstacles
— Computing optimal paths for mobile robots is an interesting and important problem. This paper presents a method to compute the shortest path for a differential-drive mobile rob...
Hamid Reza Chitsaz, Steven M. LaValle
ICRA
2006
IEEE
91views Robotics» more  ICRA 2006»
13 years 11 months ago
Minimum Wheel-rotation Paths for Differential-drive Mobile Robots
— Characterizing optimal paths for mobile robots is an interesting, important, and challenging endeavor. Not only they are interesting with respect to the optimized criteria, but...
Hamid Reza Chitsaz, Steven M. LaValle, Devin J. Ba...