Thiago Pereira Bueno

According to our database, Thiago Pereira Bueno authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments.

Ângelo Gregório Lovatto, Thiago Pereira Bueno, Leliane Nunes de Barros

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

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

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

On the Performance of Planning Through Backpropagation.

Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Analyzing the Effect of Stochastic Transitions in Policy Gradients in Deep Reinforcement Learning.

Ângelo Gregório Lovatto, Thiago Pereira Bueno, Leliane Nunes de Barros

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains.

Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming.

Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

2016

Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution.

Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016