Belief Mdps
Belief MDPs is a Markov decision process in which the state space consists of beliefs—probability distributions over the underlying POMDP's hidden states—thereby transforming a partially observable problem into a fully observable one over beliefs, with transitions and rewards defined by the original POMDP's dynamics.
14
Publications
584
Citations
32
Authors
19
Institutions
Publications per year
2017–2026
1
Variants
Belief Markov Decision ProcessesBelief-mdps
14
An improved grid-based approximation algorithm for POMDPs
Rong Zhou, Eric A. Hansen · 2001 · 99 citations
Forward search value iteration for POMDPs
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony · 2007 · 84 citations
1–5 of 14
32
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h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 32
19
Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
5 publications
286 citations

University of Georgia
Athens, United States
2 h-index
3 publications
161 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
1 publications
17 citations
Centre de Recherche en Automatique de Nancy
Nancy, France
1 h-index
1 publications
17 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
17 citations
China Academy of Engineering Physics
Mianyang, China
1 h-index
1 publications
10 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
93 citations

Universidad de Alcalá
Alcalá de Henares, Spain
1 h-index
5 publications
55 citations
1–8 of 19
2 publications · 121 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 11 citations
1
h-index
Repository · 1 publications · 42 citations
1
h-index
1 publications · 10 citations
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