default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBruno C. da Silva 0001
Bruno Castro da Silva
Person information
- affiliation: University of Massachusetts, Amherst, MA, USA
- affiliation (former): Federal University of Rio Grande do Sul (UFRGS), Institute of Informatics, Porto Alegre, Brazil
Other persons with the same name
- Bruno da Silva 0002
![[0000-0002-6467-9943]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6467-9943")
(aka: Bruno Carreiro da Silva, Bruno C. da Silva 0002) — California Polytechnic State University, San Luis Obispo, CA, USA (and 1 more)
Other persons with a similar name
- Marcelo G. S. Bruno (aka: Marcelo Gomes da Silva Bruno)
- Bruno da Silva Rodrigues
- Bruno César Gregório da Silva
- Bruno Fontana da Silva
- Bruno Marques Ferreira da Silva
- Bruno Mendes da Silva
- Bruno Norberto da Silva
- Bruno Santana da Silva
- Bruno da Silva 0001 — Vrije Universiteit Brussel, Department of Engineering Technology / Department of Electronics and Informatics, Belgium
- Samuel Sousa 0001 (aka: Samuel Bruno da Silva Sousa) — Graz University of Technology, Austria
- show all similar names
SPARQL queries 
🛈 Please note that only 54% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j7]Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans:
Mitigating the Curse of Horizon in Monte-Carlo Returns. RLJ 2: 563-572 (2024)- [c41]Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva:
From Past to Future: Rethinking Eligibility Traces. AAAI 2024: 12253-12260 - [c40]Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas:
Position: Benchmarking is Limited in Reinforcement Learning Research. ICML 2024 - [i20]Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva:
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR abs/2404.08555 (2024) - [i19]Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas:
Position: Benchmarking is Limited in Reinforcement Learning Research. CoRR abs/2406.16241 (2024) - [i18]Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas:
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. CoRR abs/2410.02172 (2024) - 2023
- [c39]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: 2003-2012 - [c38]Austin Hoag, James E. Kostas, Bruno Castro da Silva, Philip S. Thomas, Yuriy Brun:
Seldonian Toolkit: Building Software with Safe and Fair Machine Learning. ICSE Companion 2023: 107-111 - [c37]Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva:
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS 2023 - [c36]Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva:
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS 2023 - [c35]Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno C. da Silva:
Behavior Alignment via Reward Function Optimization. NeurIPS 2023 - [i17]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 abs/2301.07784 (2023) - [i16]Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno Castro da Silva, Emma Brunskill, Philip S. Thomas:
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments. CoRR abs/2301.10330 (2023) - [i15]James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas:
Coagent Networks: Generalized and Scaled. CoRR abs/2305.09838 (2023) - [i14]Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno Castro da Silva:
Behavior Alignment via Reward Function Optimization. CoRR abs/2310.19007 (2023) - [i13]Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva:
From Past to Future: Rethinking Eligibility Traces. CoRR abs/2312.12972 (2023) - 2022
- [c34]Ørjan Strand, Didrik Spanne Reilstad, Zhenying Wu, Bruno Castro da Silva, Jim Torresen, Kai Olav Ellefsen:
RADAR: Reactive and Deliberative Adaptive Reasoning - Learning When to Think Fast and When to Think Slow. ICDL 2022: 184-189 - [c33]Stephen Giguere, Blossom Metevier, Bruno Castro da Silva, Yuriy Brun, Philip S. Thomas, Scott Niekum:
Fairness Guarantees under Demographic Shift. ICLR 2022 - [c32]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: 394-413 - [c31]Nicholas Polosky, Bruno C. da Silva, Madalina Fiterau, Jithin Jagannath:
Constrained Offline Policy Optimization. ICML 2022: 17801-17810 - [c30]Isadora P. Possebon, Bruno Castro da Silva, Alberto E. Schaeffer-Filho:
Look-Ahead Reinforcement Learning for Load Balancing Network Traffic. ISCC 2022: 1-6 - [c29]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 - [i12]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 abs/2206.11326 (2022) - [i11]Aline Weber, Blossom Metevier, Yuriy Brun, Philip S. Thomas, Bruno Castro da Silva:
Enforcing Delayed-Impact Fairness Guarantees. CoRR abs/2208.11744 (2022) - [i10]Rushiv Arora, Bruno Castro da Silva, Eliot Moss:
Model-Based Reinforcement Learning with SINDy. CoRR abs/2208.14501 (2022) - 2021
- [j6]Grasiela Marcon, Flávia de Ávila Pereira, Aline Zimerman, Bruno Castro da Silva, Lisia von Diemen, Ives Cavalcante Passos, Mariana Recamonde Mendoza:
Patterns of high-risk drinking among medical students: A web-based survey with machine learning. Comput. Biol. Medicine 136: 104747 (2021) - [j5]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: e575 (2021) - [c28]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: 97-105 - [c27]Chris Nota, Philip S. Thomas, Bruno C. da Silva:
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods. ICML 2021: 8238-8247 - [c26]Yash Chandak, Scott Niekum, Bruno C. da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas:
Universal Off-Policy Evaluation. NeurIPS 2021: 27475-27490 - [i9]Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas:
Universal Off-Policy Evaluation. CoRR abs/2104.12820 (2021) - [i8]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 abs/2105.09452 (2021) - 2020
- [j4]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): 3-22 (2020) - [j3]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: e8 (2020) - [i7]Manuel Del Verme, Bruno Castro da Silva, Gianluca Baldassarre:
Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints. CoRR abs/2001.01620 (2020) - [i6]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 abs/2004.04778 (2020) - [i5]Vieri Giuliano Santucci, Davide Montella, Bruno Castro da Silva, Gianluca Baldassarre:
Autonomous learning of multiple, context-dependent tasks. CoRR abs/2011.13847 (2020)
2010 – 2019
- 2019
- [c25]Francisco M. Garcia, Bruno C. da Silva, Philip S. Thomas:
A Compression-Inspired Framework for Macro Discovery. AAMAS 2019: 1973-1975 - [c24]Aline Weber, Charles P. Martin, Jim Tørresen, Bruno C. da Silva:
Identifying Reusable Early-Life Options. ICDL-EPIROB 2019: 335-340 - [c23]Rafael Garcia, Alexandre Xavier Falcão, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. IJCNN 2019: 1-10 - [c22]Aline Weber, Lucas Nunes Alegre, Jim Tørresen, Bruno C. da Silva:
Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. NIME 2019: 174-179 - [i4]Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre:
Autonomous Open-Ended Learning of Interdependent Tasks. CoRR abs/1905.02690 (2019) - 2018
- [j2]Rafael Garcia, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A task-and-technique centered survey on visual analytics for deep learning model engineering. Comput. Graph. 77: 30-49 (2018) - [c21]Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan:
Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. IJCNN 2018: 1-8 - [c20]Thiago Bell Felix 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: 1-8 - [c19]Marcelo Brandalero, Guilherme Meneguzzi Malfatti, Geraldo Francisco Oliveira, Leonardo Almeida da Silveira, Larissa Rozales Gonçalves, Bruno Castro da Silva, Luigi Carro, Antonio Carlos Schneider Beck:
Efficient Local Memory Support for Approximate Computing. SBESC 2018: 122-129 - 2017
- [c18]Gabriel de Oliveira Ramos, Bruno Castro da Silva, Ana L. C. Bazzan:
Learning to Minimise Regret in Route Choice. AAMAS 2017: 846-855 - [c17]Daniel Garant, Bruno Castro da Silva, Victor R. Lesser, Chongjie Zhang:
Context-Based Concurrent Experience Sharing in Multiagent Systems. AAMAS 2017: 1544-1546 - [c16]Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan:
A Flexible Approach for Designing Optimal Reward Functions. AAMAS 2017: 1559-1561 - [c15]Rafael Garcia, Bruno Castro da Silva, João Luiz Dihl Comba:
Task-based behavior generalization via manifold clustering. IROS 2017: 6047-6052 - [i3]Daniel Garant, Bruno Castro da Silva, Victor R. Lesser, Chongjie Zhang:
Context-Based Concurrent Experience Sharing in Multiagent Systems. CoRR abs/1703.01931 (2017) - [i2]Philip S. Thomas, Bruno Castro da Silva, Andrew G. Barto, Emma Brunskill:
On Ensuring that Intelligent Machines Are Well-Behaved. CoRR abs/1708.05448 (2017) - [i1]Francisco M. Garcia, Bruno C. da Silva:
Identifying Reusable Macros for Efficient Exploration via Policy Compression. CoRR abs/1711.09048 (2017) - 2016
- [c14]Philip S. Thomas, Bruno Castro da Silva, Christoph Dann, Emma Brunskill:
Energetic Natural Gradient Descent. ICML 2016: 2887-2895 - [c13]Fernando Stefanello, Bruno Castro da Silva, Ana L. C. Bazzan:
Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. ATT@IJCAI 2016 - 2014
- [c12]Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto:
Active Learning of Parameterized Skills. ICML 2014: 1737-1745 - [c11]Bruno Castro da Silva, Gianluca Baldassarre, George Dimitri Konidaris, Andrew G. Barto:
Learning parameterized motor skills on a humanoid robot. ICRA 2014: 5239-5244 - 2013
- [c10]Daniel D. Corkill, Chongjie Zhang, Bruno Castro da Silva, Yoonheui Kim, Daniel Garant, Victor R. Lesser, Xiaoqin Zhang:
Biasing the behavior of organizationally adept agents: (extended abstract). AAMAS 2013: 1309-1310 - 2012
- [c9]Bruno Castro da Silva, Andrew G. Barto:
TD-DeltaPi: A Model-Free Algorithm for Efficient Exploration. AAAI 2012: 886-892 - [c8]Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto:
Learning Parameterized Skills. ICML 2012 - 2010
- [j1]Ana L. C. Bazzan, Denise de Oliveira, Bruno Castro da Silva:
Learning in groups of traffic signals. Eng. Appl. Artif. Intell. 23(4): 560-568 (2010)
2000 – 2009
- 2007
- [c7]Ana L. C. Bazzan, Bruno Castro da Silva:
Distributed constraint propagation for diagnosis of faults in physical processes. AAMAS 2007: 119 - 2006
- [c6]Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel:
RL-CD: Dealing with Non-Stationarity in Reinforcement Learning. AAAI 2006: 1863-1864 - [c5]Bruno Castro da Silva, Eduardo W. Basso, Filipo Studzinski Perotto, Ana L. C. Bazzan, Paulo Martins Engel:
Improving reinforcement learning with context detection. AAMAS 2006: 810-812 - [c4]Bruno Castro da Silva, Robert Junges, Denise de Oliveira, Ana L. C. Bazzan:
ITSUMO: an Intelligent Transportation System for Urban Mobility. AAMAS 2006: 1471-1472 - [c3]Denise de Oliveira, Ana L. C. Bazzan, Bruno Castro da Silva, Eduardo W. Basso, Luís Nunes:
Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator. EUMAS 2006 - [c2]Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel:
Dealing with non-stationary environments using context detection. ICML 2006: 217-224 - 2004
- [c1]Bruno Castro da Silva, Ana L. C. Bazzan, Gustavo Kuhn Andriotti, Filipe Lopes, Denise de Oliveira:
ITSUMO: An Intelligent Transportation System for Urban Mobility. IICS 2004: 224-235
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-03 23:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
