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Planning and control in stochastic domains with imperfect information

DSpace@MIT (Massachusetts Institute of Technology)Published 1 January 1997Open access
Miloš Hauskrecht, Peter Szolovits
Citations63
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TL;DR

Experimental results show that methods that preserve the shape of the value function over updates, such as the newly designed incremental linear vector and fast informed bound methods, tend to outperform other methods on the control performance test.

Abstract

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.

Keywords

Computer Science