Bruno C. da Silva

26 papers A* 9A 4B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized policy improvement for efficient and robust multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2025	J	`jnl`	Constructing an Optimal Behavior Basis for the Option Keyboard. CoRR Lucas N. Alegre, Ana L. C. Bazzan, André Barreto, Bruno C. da Silva
2025	A	`conf`	Dynamic Option Creation in Option-Critic Reinforcement Learning. AAMAS Mateus Begnini Melchiades, Gabriel de Oliveira Ramos, Bruno C. da Silva
2024	A*	`conf`	Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. NeurIPS Shreyas Chaudhari, Ameet Deshpande, Bruno C. da Silva, Philip S. Thomas
2023	A*	`conf`	A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva
2023	A*	`conf`	Behavior Alignment via Reward Function Optimization. NeurIPS Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno C. da Silva
2023	A*	`conf`	Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva
2023	A	`conf`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2022	A*	`conf`	Constrained Offline Policy Optimization. ICML Nicholas Polosky, Bruno C. da Silva, Madalina Fiterau, Jithin Jagannath
2022	A*	`conf`	Off-Policy Evaluation for Action-Dependent Non-stationary Environments. NeurIPS Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno C. da Silva, Emma Brunskill, Philip S. Thomas
2022	A*	`conf`	Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. ICML Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2022	J	`jnl`	Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	A	`conf`	Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. AAMAS Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	J	`jnl`	Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	A*	`conf`	Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods. ICML Chris Nota, Philip S. Thomas, Bruno C. da Silva
2021	J	`jnl`	Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Comput. Sci. Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	A*	`conf`	Universal Off-Policy Evaluation. NeurIPS Yash Chandak, Scott Niekum, Bruno C. da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
2020	J	`jnl`	Data clustering for efficient approximate computing. Des. Autom. Embed. Syst. Michael G. 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
2020	J	`jnl`	Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2020	J	`jnl`	Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
2019	A	`conf`	A Compression-Inspired Framework for Macro Discovery. AAMAS Francisco M. Garcia, Bruno C. da Silva, Philip S. Thomas
2019	—	`conf`	Identifying Reusable Early-Life Options. ICDL-EPIROB Aline Weber, Charles P. Martin, Jim Tørresen, Bruno C. da Silva
2019	—	`conf`	Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. NIME Aline Weber, Lucas Nunes Alegre, Jim Tørresen, Bruno C. da Silva
2018	B	`conf`	Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. IJCNN Thiago Bell Felix de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki
2017	J	`jnl`	Identifying Reusable Macros for Efficient Exploration via Policy Compression. CoRR Francisco M. Garcia, Bruno C. da Silva