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» Approximate controllability of a reaction-diffusion system
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AIPS
2004
13 years 11 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
14 years 2 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»
14 years 2 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
14 years 4 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»
13 years 9 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...