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