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de Barros, Leliane N.
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1

On the Performance of Planning Through Backpropagation:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Scaroni, Renato ; Bueno, Thiago P. ; de Barros, Leliane N.. - p. 108-122 , 2020
Link: https://doi.org/10.1007/..
 
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2

Finding Feasible Policies for Extreme Risk-Averse Agents in..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Fernandez, Milton Condori ; de Barros, Leliane N. ; Mauá, Denis.. - p. 93-107 , 2020
Link: https://doi.org/10.1007/..
 
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3

Analyzing the Effect of Stochastic Transitions in Policy Gr..:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),
Lovatto, Angelo G. ; Bueno, Thiago P. ; de Barros, Leliane N. - p. 413-418 , 2019
Link: https://doi.org/10.1109/..
 
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4

Real-time dynamic programming for Markov decision processes..:

Delgado, Karina V. ; de Barros, Leliane N. ; Dias, Daniel B..
Artificial Intelligence.  230 (2016)  - p. 192-223 , 2016
Link: https://doi.org/10.1016/..
 
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5

Markov Decision Processes Specified by Probabilistic Logic ..:

, In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS),
Bueno, Thiago P. ; Maua, Denis D. ; de Barros, Leliane N.. - p. 337-342 , 2016
Link: https://doi.org/10.1109/..
 
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6

Reachability-based model reduction for Markov decision proc..:

Santos, Felipe M ; Barros, Leliane N ; Trevizan, Felipe W
Journal of the Brazilian Computer Society.  21 (2015)  1 - p. , 2015
Link: https://doi.org/10.1186/..
 
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7

Advances in Artificial Intelligence - SBIA 2012 

21th Brazilian Symposium on Artificial Intelligence, Curiti...  Lecture Notes in Computer Science;SpringerLink, Bücher
Barros, Leliane N. ; Finger, Marcelo ; Pozo, Aurora T... , 2012
Link: https://doi.org/10.1007/..
 
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8

Reachability-based model reduction for Markov decision proc..:

Santos, Felipe M ; Barros, Leliane N ; Trevizan, Felipe W
http://www.journal-bcs.com/content/21/1/5.  , 2015
Link: http://www.journal-bcs.c..
 
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9

Specifying Preferences over Policies Using Branching Time T..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Machado, Warlles Carlos Costa ; dos Santos, Viviane Bonadia ; de Barros, Leliane Nunes. - p. 128-143 , 2023
Link: https://doi.org/10.1007/..
 
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10

Exploration Versus Exploitation in Model-Based Reinforcemen..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Lovatto, Ângelo Gregório ; de Barros, Leliane Nunes ; Mauá, Denis D. - p. 30-44 , 2022
Link: https://doi.org/10.1007/..
 
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11

Gradient Estimation in Model-Based Reinforcement Learning: ..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Lovatto, Ângelo Gregório ; Bueno, Thiago Pereira ; de Barros, Leliane Nunes - p. 33-47 , 2021
Link: https://doi.org/10.1007/..
 
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12

Robust topological policy iteration for infinite horizon bo..:

Reis, Willy Arthur Silva ; de Barros, Leliane Nunes ; Delgado, Karina Valdivia
International Journal of Approximate Reasoning.  105 (2019)  - p. 287-304 , 2019
Link: https://doi.org/10.1016/..
 
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13

When a Robot Reaches Out for Human Help:

, In: Advances in Artificial Intelligence - IBERAMIA 2018; Lecture Notes in Computer Science,
Andrés, Ignasi ; de Barros, Leliane Nunes ; Mauá, Denis D.. - p. 277-289 , 2018
Link: https://doi.org/10.1007/..
 
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14

Risk-Sensitive Markov Decision Process with Limited Budget:

, In: 2017 Brazilian Conference on Intelligent Systems (BRACIS),
De Melo Moreira, Daniel Augusto ; Delgado, Karina Valdivia ; de Barros, Leliane Nunes - p. 109-114 , 2017
Link: https://doi.org/10.1109/..
 
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15

Learning to program using hierarchical model-based debuggin:

de Barros, Leliane Nunes ; Pinheiro, Wellington Ricardo ; Delgado, Karina Valdivia
Applied Intelligence.  43 (2015)  3 - p. 544-563 , 2015
Link: https://doi.org/10.1007/..
 
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