Multilinear and integer programming for Markov decision processes with imprecise probabilities (2007)
- Authors:
- USP affiliated authors: COZMAN, FABIO GAGLIARDI - EP ; BARROS, LELIANE NUNES DE - IME
- Unidades: EP; IME
- Subjects: PROCESSOS DE MARKOV; PROBABILIDADE; PROGRAMAÇÃO LINEAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Charles University
- Publisher place: Prague
- Date published: 2007
- Source:
- Título: ISIPTA'07 : proceedings
- Conference titles: International Symposium on Imprecise Probability:Theories and Applications - ISIPTA
-
ABNT
SHIROTA FILHO, Ricardo et al. Multilinear and integer programming for Markov decision processes with imprecise probabilities. 2007, Anais.. Prague: Charles University, 2007. Disponível em: http://www.sipta.org/isipta07/proceedings/papers/s062.pdf. Acesso em: 01 jan. 2026. -
APA
Shirota Filho, R., Cozman, F. G., Trevizan, F. W., Campos, C. P. de, & Barros, L. N. de. (2007). Multilinear and integer programming for Markov decision processes with imprecise probabilities. In ISIPTA'07 : proceedings. Prague: Charles University. Recuperado de http://www.sipta.org/isipta07/proceedings/papers/s062.pdf -
NLM
Shirota Filho R, Cozman FG, Trevizan FW, Campos CP de, Barros LN de. Multilinear and integer programming for Markov decision processes with imprecise probabilities [Internet]. ISIPTA'07 : proceedings. 2007 ;[citado 2026 jan. 01 ] Available from: http://www.sipta.org/isipta07/proceedings/papers/s062.pdf -
Vancouver
Shirota Filho R, Cozman FG, Trevizan FW, Campos CP de, Barros LN de. Multilinear and integer programming for Markov decision processes with imprecise probabilities [Internet]. ISIPTA'07 : proceedings. 2007 ;[citado 2026 jan. 01 ] Available from: http://www.sipta.org/isipta07/proceedings/papers/s062.pdf - Strong probabilistic planning
- Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions
- Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes
- Strong probabilistic planning
- Planning under risk and knightian uncertainty
- Factored Markov decision process with imprecise transition probabilities
- Using mathematical programming to solve factored Markov decision processes with imprecise probabilities
- Markov decision processes specified by probabilistic logic programming: representation and solution
- Representing and solving factored Markov decision processes with imprecise probabilities
- Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming
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