Representing and solving factored Markov decision processes with imprecise probabilities (2009)
- Authors:
- USP affiliated authors: BARROS, LELIANE NUNES DE - IME ; COZMAN, FABIO GAGLIARDI - EP ; DELGADO, KARINA VALDIVIA - IME
- Unidades: IME; EP
- Subjects: PROCESSOS DE MARKOV; PROBABILIDADE; REPRESENTAÇÃO DE CONHECIMENTO; PROGRAMAÇÃO LINEAR
- Keywords: Imprecise Markov Decision Processes (MDPIPs); Probabilistic Planning and PPDDL; Multilinear programming
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Symposium on Imprecise Probability: Theories and Applications - ISIPTA
-
ABNT
DELGADO, Karina Valdivia et al. Representing and solving factored Markov decision processes with imprecise probabilities. 2009, Anais.. Durham: SIPTA, 2009. Disponível em: https://www.sipta.org/isipta09/proceedings/isipta09-proceedings.pdf. Acesso em: 02 nov. 2024. -
APA
Delgado, K. V., Barros, L. N. de, Cozman, F. G., & Shirota, R. (2009). Representing and solving factored Markov decision processes with imprecise probabilities. In Proceedings. Durham: SIPTA. Recuperado de https://www.sipta.org/isipta09/proceedings/isipta09-proceedings.pdf -
NLM
Delgado KV, Barros LN de, Cozman FG, Shirota R. Representing and solving factored Markov decision processes with imprecise probabilities [Internet]. Proceedings. 2009 ;[citado 2024 nov. 02 ] Available from: https://www.sipta.org/isipta09/proceedings/isipta09-proceedings.pdf -
Vancouver
Delgado KV, Barros LN de, Cozman FG, Shirota R. Representing and solving factored Markov decision processes with imprecise probabilities [Internet]. Proceedings. 2009 ;[citado 2024 nov. 02 ] Available from: https://www.sipta.org/isipta09/proceedings/isipta09-proceedings.pdf - Factored Markov decision process with imprecise transition probabilities
- Using mathematical programming to solve factored Markov decision processes with imprecise probabilities
- Robust optimization for hybrid MDPs with state-dependent noise
- Symbolic bounded real-time dynamic programming
- Risk-sensitive Markov decision process with limited budget
- Symbolic dynamic programming for discrete and continuous state MDPs
- Learning to program using hierarchical model-based debugging
- B^2RTDP: an efficient solution for bounded-parameter Markov decision process
- ProPAT: a programming ITS based on pedagogical patterns
- Processo de decisão Markoviano com transição valorada por conjunto modelado como um Jogo alternado de soma zero
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