Thiago Pereira Bueno

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 7

Top Topics

Probabilistic Logic

Gradient Estimation

Reinforcement Learning

Top Venues

Publications

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)
Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá
On the Performance of Planning Through Backpropagation. BRACIS (2) (2020)
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)
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)
Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. AAAI (2019)
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)
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)