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Trabalho de evento
Deep reactive policies for planning in stochastic nonlinear domains (2019)
Bueno, Thiago Pereira; Barros, Leliane Nunes de ; Mauá, Denis Deratani ; Sanner, Scott
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
BUENO, Thiago Pereira et al. Deep reactive policies for planning in stochastic nonlinear domains. 2019, Anais.. Palo Alto: AAAI, 2019. Disponível em: https://doi.org/10.1609/aaai.v33i01.33017530. Acesso em: 27 abr. 2024.
APA
Bueno, T. P., Barros, L. N. de, Mauá, D. D., & Sanner, S. (2019). Deep reactive policies for planning in stochastic nonlinear domains. In Proceedings. Palo Alto: AAAI. doi:10.1609/aaai.v33i01.33017530
NLM
Bueno TP, Barros LN de, Mauá DD, Sanner S. Deep reactive policies for planning in stochastic nonlinear domains [Internet]. Proceedings. 2019 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1609/aaai.v33i01.33017530
Vancouver
Bueno TP, Barros LN de, Mauá DD, Sanner S. Deep reactive policies for planning in stochastic nonlinear domains [Internet]. Proceedings. 2019 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1609/aaai.v33i01.33017530
Artigo de periodico
Real-time dynamic programming for Markov decision processes with imprecise probabilities (2016)
Delgado, Karina Valdivia; Barros, Leliane Nunes de ; Dias, Daniel Baptista; Sanner, Scott
Source: Artificial Intelligence. Unidades: EACH, IME
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS DE MARKOV, ROBUSTEZ
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ABNT
DELGADO, Karina Valdivia et al. Real-time dynamic programming for Markov decision processes with imprecise probabilities. Artificial Intelligence, v. 230, n. Ja 2016, p. 192–223, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.artint.2015.09.005. Acesso em: 27 abr. 2024.
APA
Delgado, K. V., Barros, L. N. de, Dias, D. B., & Sanner, S. (2016). Real-time dynamic programming for Markov decision processes with imprecise probabilities. Artificial Intelligence, 230( Ja 2016), 192–223. doi:10.1016/j.artint.2015.09.005
NLM
Delgado KV, Barros LN de, Dias DB, Sanner S. Real-time dynamic programming for Markov decision processes with imprecise probabilities [Internet]. Artificial Intelligence. 2016 ; 230( Ja 2016): 192–223.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.artint.2015.09.005
Vancouver
Delgado KV, Barros LN de, Dias DB, Sanner S. Real-time dynamic programming for Markov decision processes with imprecise probabilities [Internet]. Artificial Intelligence. 2016 ; 230( Ja 2016): 192–223.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.artint.2015.09.005
Trabalho de evento
Real-time symbolic dynamic programming for hybrid MDPs (2015)
Vianna, Luis Gustavo Rocha; Barros, Leliane Nunes de ; Sanner, Scott
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: IME
Subjects: PROCESSOS DE MARKOV, PROGRAMAÇÃO DINÂMICA
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ABNT
VIANNA, Luis Gustavo Rocha e BARROS, Leliane Nunes de e SANNER, Scott. Real-time symbolic dynamic programming for hybrid MDPs. 2015, Anais.. Palo Alto: AAAI, 2015. Disponível em: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701. Acesso em: 27 abr. 2024.
APA
Vianna, L. G. R., Barros, L. N. de, & Sanner, S. (2015). Real-time symbolic dynamic programming for hybrid MDPs. In Proceedings. Palo Alto: AAAI. Recuperado de http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701
NLM
Vianna LGR, Barros LN de, Sanner S. Real-time symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2015 ;[citado 2024 abr. 27 ] Available from: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701
Vancouver
Vianna LGR, Barros LN de, Sanner S. Real-time symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2015 ;[citado 2024 abr. 27 ] Available from: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701
Trabalho de evento
Continuous real time dynamic programming for discrete and continuous state MDPs (2014)
Vianna, Luis Gustavo Rocha; Sanner, Scott; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: PROCESSOS DE MARKOV, PROGRAMAÇÃO DINÂMICA
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ABNT
VIANNA, Luis Gustavo Rocha e SANNER, Scott e BARROS, Leliane Nunes de. Continuous real time dynamic programming for discrete and continuous state MDPs. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.34. Acesso em: 27 abr. 2024.
APA
Vianna, L. G. R., Sanner, S., & Barros, L. N. de. (2014). Continuous real time dynamic programming for discrete and continuous state MDPs. In Proceedings. Los Alamitos: IEEE. doi:10.1109/BRACIS.2014.34
NLM
Vianna LGR, Sanner S, Barros LN de. Continuous real time dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2014 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/BRACIS.2014.34
Vancouver
Vianna LGR, Sanner S, Barros LN de. Continuous real time dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2014 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/BRACIS.2014.34
Trabalho de evento
Factored Markov decision process with imprecise transition probabilities (2014)
Delgado, Karina Valdivia; Barros, Leliane Nunes de ; Sanner, Scott; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: International Conference on Automated Planning and Scheduling - ICAPS. Unidades: EACH, IME, EP
Subjects: PROCESSOS DE MARKOV, INTELIGÊNCIA ARTIFICIAL
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ABNT
DELGADO, Karina Valdivia et al. Factored Markov decision process with imprecise transition probabilities. 2014, Anais.. Palo Alto: AAAI, 2014. Disponível em: http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5. Acesso em: 27 abr. 2024.
APA
Delgado, K. V., Barros, L. N. de, Sanner, S., & Cozman, F. G. (2014). Factored Markov decision process with imprecise transition probabilities. In Proceedings. Palo Alto: AAAI. Recuperado de http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5
NLM
Delgado KV, Barros LN de, Sanner S, Cozman FG. Factored Markov decision process with imprecise transition probabilities [Internet]. Proceedings. 2014 ;[citado 2024 abr. 27 ] Available from: http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5
Vancouver
Delgado KV, Barros LN de, Sanner S, Cozman FG. Factored Markov decision process with imprecise transition probabilities [Internet]. Proceedings. 2014 ;[citado 2024 abr. 27 ] Available from: http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5
Trabalho de evento
Bounded approximate symbolic dynamic programming for hybrid MDPs (2013)
Vianna, Luis Gustavo Rocha; Sanner, Scott; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: CONTROLE (TEORIA DE SISTEMAS E CONTROLE), PROCESSOS DE MARKOV
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ABNT
VIANNA, Luis Gustavo Rocha e SANNER, Scott e BARROS, Leliane Nunes de. Bounded approximate symbolic dynamic programming for hybrid MDPs. 2013, Anais.. Corvallis: AUAI Press, 2013. Disponível em: https://www.auai.org/uai2013/prints/proceedings.pdf. Acesso em: 27 abr. 2024.
APA
Vianna, L. G. R., Sanner, S., & Barros, L. N. de. (2013). Bounded approximate symbolic dynamic programming for hybrid MDPs. In Proceedings. Corvallis: AUAI Press. Recuperado de https://www.auai.org/uai2013/prints/proceedings.pdf
NLM
Vianna LGR, Sanner S, Barros LN de. Bounded approximate symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://www.auai.org/uai2013/prints/proceedings.pdf
Vancouver
Vianna LGR, Sanner S, Barros LN de. Bounded approximate symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://www.auai.org/uai2013/prints/proceedings.pdf
Trabalho de evento
Robust optimization for hybrid MDPs with state-dependent noise (2013)
Zamani, Zahra; Sanner, Scott; Delgado, Karina Valdivia ; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidades: EACH, IME
Subjects: PROCESSOS DE MARKOV, CONTROLE (TEORIA DE SISTEMAS E CONTROLE)
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ABNT
ZAMANI, Zahra et al. Robust optimization for hybrid MDPs with state-dependent noise. 2013, Anais.. Palo Alto: AAAI Press, 2013. Disponível em: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005. Acesso em: 27 abr. 2024.
APA
Zamani, Z., Sanner, S., Delgado, K. V., & Barros, L. N. de. (2013). Robust optimization for hybrid MDPs with state-dependent noise. In Proceedings. Palo Alto: AAAI Press. Recuperado de https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005
NLM
Zamani Z, Sanner S, Delgado KV, Barros LN de. Robust optimization for hybrid MDPs with state-dependent noise [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005
Vancouver
Zamani Z, Sanner S, Delgado KV, Barros LN de. Robust optimization for hybrid MDPs with state-dependent noise [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005
Artigo de periodico
Using mathematical programming to solve factored Markov decision processes with imprecise probabilities (2011)
Delgado, Karina Valdivia; Barros, Leliane Nunes de ; Cozman, Fabio Gagliardi ; Sanner, Scott
Source: International Journal of Approximate Reasoning. Unidades: EACH, IME, EP
Assunto: PROGRAMAÇÃO MATEMÁTICA
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ABNT
DELGADO, Karina Valdivia et al. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities. International Journal of Approximate Reasoning, v. 52, p. 1000-1017, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2011.04.002. Acesso em: 27 abr. 2024.
APA
Delgado, K. V., Barros, L. N. de, Cozman, F. G., & Sanner, S. (2011). Using mathematical programming to solve factored Markov decision processes with imprecise probabilities. International Journal of Approximate Reasoning, 52, 1000-1017. doi:10.1016/j.ijar.2011.04.002
NLM
Delgado KV, Barros LN de, Cozman FG, Sanner S. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2011 ; 52 1000-1017.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.ijar.2011.04.002
Vancouver
Delgado KV, Barros LN de, Cozman FG, Sanner S. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2011 ; 52 1000-1017.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.ijar.2011.04.002
Artigo de periodico
Efficient solutions to factored MDPs with imprecise transition probabilities (2011)
Delgado, Karina Valdivia; Sanner, Scott; Barros, Leliane Nunes de
Source: Artificial Intelligence. Unidades: EACH, IME
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
DELGADO, Karina Valdivia e SANNER, Scott e BARROS, Leliane Nunes de. Efficient solutions to factored MDPs with imprecise transition probabilities. Artificial Intelligence, v. 175, n. ju 2011, p. 1498-1527, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.artint.2011.01.001. Acesso em: 27 abr. 2024.
APA
Delgado, K. V., Sanner, S., & Barros, L. N. de. (2011). Efficient solutions to factored MDPs with imprecise transition probabilities. Artificial Intelligence, 175( ju 2011), 1498-1527. doi:10.1016/j.artint.2011.01.001
NLM
Delgado KV, Sanner S, Barros LN de. Efficient solutions to factored MDPs with imprecise transition probabilities [Internet]. Artificial Intelligence. 2011 ; 175( ju 2011): 1498-1527.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.artint.2011.01.001
Vancouver
Delgado KV, Sanner S, Barros LN de. Efficient solutions to factored MDPs with imprecise transition probabilities [Internet]. Artificial Intelligence. 2011 ; 175( ju 2011): 1498-1527.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.artint.2011.01.001
Trabalho de evento
Symbolic dynamic programming for discrete and continuous state MDPs (2011)
Sanner, Scott; Delgado, Karina Valdivia ; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidades: EACH, IME
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS DE MARKOV, PROGRAMAÇÃO DINÂMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANNER, Scott e DELGADO, Karina Valdivia e BARROS, Leliane Nunes de. Symbolic dynamic programming for discrete and continuous state MDPs. 2011, Anais.. Arlington: AUAI Press, 2011. Disponível em: https://doi.org/10.5555/3020548.3020623. Acesso em: 27 abr. 2024.
APA
Sanner, S., Delgado, K. V., & Barros, L. N. de. (2011). Symbolic dynamic programming for discrete and continuous state MDPs. In Proceedings. Arlington: AUAI Press. doi:10.5555/3020548.3020623
NLM
Sanner S, Delgado KV, Barros LN de. Symbolic dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2011 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.5555/3020548.3020623
Vancouver
Sanner S, Delgado KV, Barros LN de. Symbolic dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2011 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.5555/3020548.3020623

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