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» Approximate controllability of a reaction-diffusion system
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AIPS
2004
15 years 5 months ago
Learning Domain-Specific Control Knowledge from Random Walks
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
Alan Fern, Sung Wook Yoon, Robert Givan
ICCS
2001
Springer
15 years 9 months ago
Inclusion-Based Approximate Reasoning
Nowadays, people start to accept fuzzy rule–based systems as flexible and convenient tools to solve a myriad of ill–defined but otherwise (for humans) straightforward tasks s...
Chris Cornelis, Etienne E. Kerre
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 9 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
HYBRID
2010
Springer
15 years 11 months ago
Accurate hybridization of nonlinear systems
This paper is concerned with reachable set computation for non-linear systems using hybridization. The essence of hybridization is to approximate a non-linear vector field by a s...
Thao Dang, Oded Maler, Romain Testylier
CORR
2004
Springer
121views Education» more  CORR 2004»
15 years 4 months ago
Solving Elliptic Finite Element Systems in Near-Linear Time with Support Preconditioners
We consider linear systems arising from the use of the finite element method for solving a certain class of linear elliptic problems. Our main result is that these linear systems, ...
Erik G. Boman, Bruce Hendrickson, Stephen A. Vavas...