Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions (2008)
- Authors:
- USP affiliated authors: COZMAN, FABIO GAGLIARDI - EP ; BARROS, LELIANE NUNES DE - IME
- Unidades: EP; IME
- Subjects: PROBABILIDADE; PROCESSOS DE MARKOV
- Language: Inglês
- Imprenta:
- Publisher: AAAI
- Publisher place: Menlo Park
- Date published: 2008
- Source:
- Título: Proceedings
- Conference titles: International Conference on Automated Planning and Scheduling - ICAPS
-
ABNT
TREVIZAN, Felipe Werndl e COZMAN, Fabio Gagliardi e BARROS, Leliane Nunes de. Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions. 2008, Anais.. Menlo Park: AAAI, 2008. Disponível em: https://felipe.trevizan.org/papers/trevizan08:pdl.pdf. Acesso em: 12 fev. 2026. -
APA
Trevizan, F. W., Cozman, F. G., & Barros, L. N. de. (2008). Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions. In Proceedings. Menlo Park: AAAI. Recuperado de https://felipe.trevizan.org/papers/trevizan08:pdl.pdf -
NLM
Trevizan FW, Cozman FG, Barros LN de. Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions [Internet]. Proceedings. 2008 ;[citado 2026 fev. 12 ] Available from: https://felipe.trevizan.org/papers/trevizan08:pdl.pdf -
Vancouver
Trevizan FW, Cozman FG, Barros LN de. Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions [Internet]. Proceedings. 2008 ;[citado 2026 fev. 12 ] Available from: https://felipe.trevizan.org/papers/trevizan08:pdl.pdf - Strong probabilistic planning
- Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes
- Multilinear and integer programming for Markov decision processes with imprecise probabilities
- Planning under risk and knightian uncertainty
- Strong probabilistic planning
- Representing and solving factored Markov decision processes with imprecise probabilities
- Using mathematical programming to solve factored Markov decision processes with imprecise probabilities
- Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming
- Factored Markov decision process with imprecise transition probabilities
- Markov decision processes specified by probabilistic logic programming: representation and solution
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