Highly Influenced

Actual performance of sequential decision-making problems can be extremely sensitive to errors in the models, and this research addressed the role of robustness in coping with this uncertainty. The first part of this thesis presents a computationally efficient sampling methodology, Dirichlet Sigma Points, for solving robust Markov Decision Processes with… (More)

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Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

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