Publication date
January 1974
DOIAbstract
Ph.D.Electrical engineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/190833/2/7425359.pd
Ph.D.Electrical engineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/190833/2/7425359.pd
We introduce an on-line algorithm for finding local maxima of the average reward in a Partially Obse...
Partially Observable Markov Decision Processes (POMDPs) cope with sequential decision processes wher...
AbstractFor a partially observed control problem we prove the existence of an optimal control. Purel...
Ph.D.Electrical engineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp:...
We survey several computational procedures for the partially observed Markov decision process (POMDP...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
grantor: University of TorontoThis dissertation is concerned with new solution techniques ...
We survey several computational procedures for the partially observed Markov decision process (POMDP...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
The development of statistical inference procedures for semi- Markov processes seems to be rather sc...
This guide provides an introduction to hidden Markov Models and draws heavily from the excellent tut...
Colloque avec actes et comité de lecture. internationale.International audienceA new algorithm for s...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...
Markov Decision Processes (Mdps) form a versatile framework used to model a wide range of optimizati...
Publisher Copyright: IEEENoisy sensing, imperfect control, and environment changes are defining char...
We introduce an on-line algorithm for finding local maxima of the average reward in a Partially Obse...
Partially Observable Markov Decision Processes (POMDPs) cope with sequential decision processes wher...
AbstractFor a partially observed control problem we prove the existence of an optimal control. Purel...
Ph.D.Electrical engineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp:...
We survey several computational procedures for the partially observed Markov decision process (POMDP...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
grantor: University of TorontoThis dissertation is concerned with new solution techniques ...
We survey several computational procedures for the partially observed Markov decision process (POMDP...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
The development of statistical inference procedures for semi- Markov processes seems to be rather sc...
This guide provides an introduction to hidden Markov Models and draws heavily from the excellent tut...
Colloque avec actes et comité de lecture. internationale.International audienceA new algorithm for s...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...
Markov Decision Processes (Mdps) form a versatile framework used to model a wide range of optimizati...
Publisher Copyright: IEEENoisy sensing, imperfect control, and environment changes are defining char...
We introduce an on-line algorithm for finding local maxima of the average reward in a Partially Obse...
Partially Observable Markov Decision Processes (POMDPs) cope with sequential decision processes wher...
AbstractFor a partially observed control problem we prove the existence of an optimal control. Purel...
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