Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. - Thiago Pereira Bueno; Denis Deratani Mauá; Leliane N. de Barros; Fábio Gagliardi Cozman (BRACIS, 2016)

Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming. - Thiago Pereira Bueno; Denis Deratani Mauá; Leliane N. de Barros; Fábio Gagliardi Cozman (ISIPTA, 2017)

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. - Thiago Pereira Bueno; Leliane N. de Barros; Denis Deratani Mauá; Scott Sanner (AAAI, 2019)

Analyzing the Effect of Stochastic Transitions in Policy Gradients in Deep Reinforcement Learning. - Ângelo Gregório Lovatto; Thiago Pereira Bueno; Leliane Nunes de Barros (BRACIS, 2019)

On the Performance of Planning Through Backpropagation. - Renato Scaroni; Thiago Pereira Bueno; Leliane N. de Barros; Denis Deratani Mauá (BRACIS (2), 2020)

Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice. - Ângelo Gregório Lovatto; Thiago Pereira Bueno; Denis Deratani Mauá; Leliane N. de Barros (ICBINB@NeurIPS, 2020)

Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments. - Ângelo Gregório Lovatto; Thiago Pereira Bueno; Leliane Nunes de Barros (BRACIS (1), 2021)