Strong probabilistic planning (2007)
- Authors:
- USP affiliated authors: BARROS, LELIANE NUNES DE - IME ; COZMAN, FABIO GAGLIARDI - EP
- Unidades: IME; EP
- Assunto: PROCESSOS ESTOCÁSTICOS
- Language: Inglês
- Imprenta:
-
ABNT
PEREIRA, Silvio do Lago e BARROS, Leliane Nunes de e COZMAN, Fabio Gagliardi. Strong probabilistic planning. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/61ee1f5e-f7b4-4c1d-bf40-e7240bd7f7f0/1639319.pdf. Acesso em: 20 out. 2024. , 2007 -
APA
Pereira, S. do L., Barros, L. N. de, & Cozman, F. G. (2007). Strong probabilistic planning. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/61ee1f5e-f7b4-4c1d-bf40-e7240bd7f7f0/1639319.pdf -
NLM
Pereira S do L, Barros LN de, Cozman FG. Strong probabilistic planning [Internet]. 2007 ;[citado 2024 out. 20 ] Available from: https://repositorio.usp.br/directbitstream/61ee1f5e-f7b4-4c1d-bf40-e7240bd7f7f0/1639319.pdf -
Vancouver
Pereira S do L, Barros LN de, Cozman FG. Strong probabilistic planning [Internet]. 2007 ;[citado 2024 out. 20 ] Available from: https://repositorio.usp.br/directbitstream/61ee1f5e-f7b4-4c1d-bf40-e7240bd7f7f0/1639319.pdf - Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes
- Planning under risk and knightian uncertainty
- Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions
- Multilinear and integer programming for Markov decision processes with imprecise probabilities
- Factored Markov decision process with imprecise transition probabilities
- Representing and solving factored Markov decision processes with imprecise probabilities
- Markov decision processes specified by probabilistic logic programming: representation and solution
- Using mathematical programming to solve factored Markov decision processes with imprecise probabilities
- Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming
- Real-time symbolic dynamic programming for hybrid MDPs
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