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Reports (Research Report) Year : 2004

Planning with Robust (L)RTDP

Olivier Buffet
Douglas Aberdeen
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Abstract

Stochastic Shortest Path problems (SSPs), a subclass of Markov Decision Problems (MDPs), can be efficiently dealt with using Real-Time Dynamic Programming (RTDP). Yet, MDP models are often uncertain (obtained through statistics or guessing). The usual approach is robust planning: searching for the best policy under the worst model. This paper shows how RTDP can be made robust in the common case where transition probabilities are known to lie in a given interval.
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Dates and versions

inria-00509352 , version 1 (11-08-2010)

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  • HAL Id : inria-00509352 , version 1

Cite

Olivier Buffet, Douglas Aberdeen. Planning with Robust (L)RTDP. [Research Report] 2004, pp.21. ⟨inria-00509352⟩
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