da Silva, Bruno Castro

13 publications

NeurIPS 2025 Beyond Prediction: Managing the Repercussions of Machine Learning Applications Aline Weber, Blossom Metevier, Yuriy Brun, Philip S. Thomas, Bruno Castro da Silva
NeurIPS 2025 Constructing an Optimal Behavior Basis for the Option Keyboard Lucas N. Alegre, Ana L. C. Bazzan, Andre Barreto, Bruno Castro da Silva
TMLR 2025 Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning Louis Bagot, Lucas Nunes Alegre, Steven Latre, Kevin Mets, Bruno Castro da Silva
NeurIPS 2024 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas
AAAI 2024 From past to Future: Rethinking Eligibility Traces Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
ICML 2024 Position: Benchmarking Is Limited in Reinforcement Learning Research Scott M. Jordan, Adam White, Bruno Castro Da Silva, Martha White, Philip S. Thomas
NeurIPSW 2023 Learning Models and Evaluating Policies with Offline Off-Policy Data Under Partial Observability Shreyas Chaudhari, Philip S. Thomas, Bruno Castro da Silva
ICLR 2022 Fairness Guarantees Under Demographic Shift Stephen Giguere, Blossom Metevier, Bruno Castro da Silva, Yuriy Brun, Philip S. Thomas, Scott Niekum
ICMLW 2022 Model-Based Reinforcement Learning with SINDy Rushiv Arora, Eliot Moss, Bruno Castro da Silva
ICML 2012 Learning Parameterized Skills Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto
AAAI 2012 TD-DeltaPi: A Model-Free Algorithm for Efficient Exploration Bruno Castro da Silva, Andrew G. Barto
ICML 2006 Dealing with Non-Stationary Environments Using Context Detection Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel
AAAI 2006 RL-CD: Dealing with Non-Stationarity in Reinforcement Learning Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel