Bruno C. da Silva

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 18

Top Topics

Data Clustering

Temporally Consistent

Reinforcement Learning

Policy Evaluation

Top Venues

Publications

Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR (2023)
Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno C. da Silva
Behavior Alignment via Reward Function Optimization. NeurIPS (2023)
Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS (2023)
Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno C. da Silva, Emma Brunskill, Philip S. Thomas
Off-Policy Evaluation for Action-Dependent Non-stationary Environments. NeurIPS (2022)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. CoRR (2022)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. ICML (2022)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Comput. Sci. 7 (2021)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. CoRR (2021)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. AAMAS (2021)
Yash Chandak, Scott Niekum, Bruno C. da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
Universal Off-Policy Evaluation. NeurIPS (2021)
Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. 35 (2020)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. CoRR (2020)
Michael Guilherme Jordan, Marcelo Brandalero, Guilherme Meneguzzi Malfatti, Geraldo F. Oliveira, Arthur Francisco Lorenzon, Bruno C. da Silva, Luigi Carro, Mateus B. Rutzig, Antonio Carlos Schneider Beck
Data clustering for efficient approximate computing. Des. Autom. Embed. Syst. 24 (1) (2020)
Aline Weber, Charles P. Martin, Jim Tørresen, Bruno C. da Silva
Identifying Reusable Early-Life Options. ICDL-EPIROB (2019)
Aline Weber, Lucas Nunes Alegre, Jim Tørresen, Bruno C. da Silva
Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. NIME (2019)
Francisco M. Garcia, Bruno C. da Silva, Philip S. Thomas
A Compression-Inspired Framework for Macro Discovery. AAMAS (2019)
Thiago B. F. de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki
Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. IJCNN (2018)
Francisco M. Garcia, Bruno C. da Silva
Identifying Reusable Macros for Efficient Exploration via Policy Compression. CoRR (2017)