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2020 – today
- 2021
[c7]Ângelo Gregório Lovatto
, Thiago Pereira Bueno, Leliane Nunes de Barros:
Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments. BRACIS (1) 2021: 33-47- 2020
- [c6]Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá:
On the Performance of Planning Through Backpropagation. BRACIS (2) 2020: 108-122 - [c5]Ângelo Gregório Lovatto, Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros:
Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice. ICBINB@NeurIPS 2020: 76-86
2010 – 2019
- 2019
- [c4]Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner:
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. AAAI 2019: 7530-7537 - [c3]Ângelo Gregório Lovatto, Thiago Pereira Bueno, Leliane Nunes de Barros:
Analyzing the Effect of Stochastic Transitions in Policy Gradients in Deep Reinforcement Learning. BRACIS 2019: 413-418 - 2017
- [c2]Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman:
Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming. ISIPTA 2017: 49-60 - 2016
- [c1]Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman:
Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. BRACIS 2016: 337-342
Coauthor Index
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