Da Silva, Bruno C.

6 publications

NeurIPS 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning Florian Felten, Lucas N. Alegre, Ann Nowe, Ana Bazzan, El Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva

NeurIPS 2023 Behavior Alignment via Reward Function Optimization Dhawal Gupta, Yash Chandak, Scott Jordan, Philip S. Thomas, Bruno C. da Silva

NeurIPS 2023 Multi-Step Generalized Policy Improvement by Leveraging Approximate Models Lucas N. Alegre, Ana Bazzan, Ann Nowe, Bruno C. da Silva

ICML 2022 Constrained Offline Policy Optimization Nicholas Polosky, Bruno C. Da Silva, Madalina Fiterau, Jithin Jagannath

ICML 2022 Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer Lucas Nunes Alegre, Ana Bazzan, Bruno C. Da Silva

ICML 2021 Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods Chris Nota, Philip Thomas, Bruno C. Da Silva