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1994|Acting Optimally in Partially Observable Stochastic Domain


1994-Acting Optimally in Partially Observable Stochastic Domain

In this paper, we describe the partially observable. Markov decision process (POMDP) approach to finding optimal or near-optimal control strategies for ...

Acting Optimally in Partially Observable Stochastic Domains - AAAI

Abstract: In this paper, we describe the partially observable Markov decision process (POMDP) approach to finding optimal or near-optimal ...

(PDF) Acting Optimally in Partially Observable Stochastic Domains

Acting Optimally in Partially Observable Stochastic Domains ... In this paper, we describe the partially observable Markov decision process (pomdp) approach to ...

Acting optimally in partially observable stochastic domains

Abstract. In this paper, we describe the partially observable Markov decision process (POMDP) approach to finding optimal or near-optimal control strategies for ...

Acting Optimally in Partially Observable Stochastic Domains

In this paper, we describe the partially observable. Markov decision process (POMDP) approach to finding optimal or near-optimal control strategies for ...

[PDF] Acting Optimally in Partially Observable Stochastic Domains

The existing algorithms for computing optimal control strategies for partially observable stochastic environments are found to be highly computationally ...

Acting Optimally in Partially Observable Stochastic Domains

In this paper, we describe the partially observable Markov decision process ({\sc pomdp}) approach to finding optimal or near-optimal control strategies for ...

Planning and acting in partially observable stochastic domains

This is essentially a planning problem: given a complete and correct model of the world dynamics and a reward structure, find an optimal way to behave. In the ...

Planning and acting in partially observable stochastic domains

Aström K.J.. Optimal control of Markov decision processes with incomplete state estimation. J. Math. Anal. Appl., 10 (1995), pp ...

Acting optimally in partially observable stochastic domains

Acting optimally in partially observable stochastic domains. Acting optimally in partially observable stochastic domains. Anthony R. Cassandra, Leslie Pack ...

Review: "Acting Optimally in Partially Observable Stochastic Domains"

"Acting Optimally in Paritally Observable Stochastic Domains", by. Cassandra et al. describes a new algorithm to find approximate

Acting Optimally in Partially Observable Stochastic Domains. - DBLP

Bibliographic details on Acting Optimally in Partially Observable Stochastic Domains.

A. R. Cassandra, L. P. Kaelbling and M. L. Littman, “Acting Optimally ...

Littman, “Acting Optimally in Partially Observable Stochastic Domains,” Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, 1994.

Planning and Acting in Partially Observable Stochastic Domains

Thus, from the pomdp perspective, optimal performance involves something akin to a \value of information" calculation, only more complex; the ...

[PDF] Planning and Acting in Partially Observable Stochastic Domains

Semantic Scholar extracted view of "Planning and Acting in Partially Observable Stochastic Domains" by L. Kaelbling et al.

Acting Optimally in Partially Observable Stochastic Domains

Acting Optimally in Partially Observable Stochastic Domains. Classic Paper Award, AAAI-94. Anthony R. Cassandra. Brown University.

Planning and Acting in Partially Observable Stochastic Domains

... optimal actions in partially observable stochastic domains. We begin by introducing the theory of Markov decision processes (mdps) and ...

bibtex - MIT

@InProceedings{LIS57, title = {Acting Optimally in Partially Observable Stochastic Domains}, author = {Anthony R. Cassandra and Leslie Pack Kaelbling and ...

Tech Report CS-96-08 - Brown CS

Planning and Acting in Partially Observable Stochastic Domains. Leslie Pack ... optimal actions in partially observable stochastic domains. We begin by ...

Tony's POMDP Papers

Acting Optimally in Partially Observable Stochastic Domains. Anthony R. Cassandra, Leslie Pack Kaelbling and Michael L. Littman. Proceedings of the Twelfth ...