Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes (2006)
- Authors:
- USP affiliated authors: COZMAN, FABIO GAGLIARDI - EP ; BARROS, LELIANE NUNES DE - IME
- Unidades: EP; IME
- DOI: 10.1007/11874850_54
- Subjects: PROBABILIDADE; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
TREVIZAN, Felipe Werndl e COZMAN, Fabio Gagliardi e BARROS, Leliane Nunes de. Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes. 2006, Anais.. Berlin: Springer, 2006. Disponível em: https://doi.org/10.1007/11874850_54. Acesso em: 28 abr. 2024. -
APA
Trevizan, F. W., Cozman, F. G., & Barros, L. N. de. (2006). Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes. In Proceedings. Berlin: Springer. doi:10.1007/11874850_54 -
NLM
Trevizan FW, Cozman FG, Barros LN de. Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes [Internet]. Proceedings. 2006 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/11874850_54 -
Vancouver
Trevizan FW, Cozman FG, Barros LN de. Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes [Internet]. Proceedings. 2006 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/11874850_54 - Strong probabilistic planning
- Planning under risk and knightian uncertainty
- Strong probabilistic planning
- Multilinear and integer programming for Markov decision processes with imprecise probabilities
- Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions
- Factored Markov decision process with imprecise transition probabilities
- Markov decision processes specified by probabilistic logic programming: representation and solution
- 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
Informações sobre o DOI: 10.1007/11874850_54 (Fonte: oaDOI API)
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