| Learning parameterized skills BC da Silva, G Konidaris, A Barto Proceedings of the 29th International Conference on Machine Learning (ICML 2012), 2012 | 206 | 2012 |
| Dealing with non-stationary environments using context detection BC da Silva, EW Basso, ALC Bazzan, PM Engel Proceedings of the 23rd international Conference on Machine Learning (ICML …, 2006 | 188 | 2006 |
| Learning in groups of traffic signals ALC Bazzan, D De Oliveira, BC da Silva Engineering Applications of Artificial Intelligence 23 (4), 560-568, 2010 | 122 | 2010 |
| Preventing undesirable behavior of intelligent machines PS Thomas, B Castro da Silva, AG Barto, S Giguere, Y Brun, E Brunskill Science 366 (6468), 999-1004, 2019 | 115 | 2019 |
| Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator. D de Oliveira, ALC Bazzan, BC da Silva, EW Basso, L Nunes, R Rossetti, ... 4th European Workshop on Multi-Agent Systems (EUMAS 2006), 2006 | 81 | 2006 |
| ITSUMO: an intelligent transportation system for urban mobility BC Da Silva, R Junges, D de Oliveira, ALC Bazzan [Demonstration Track] (AAMAS 2006) - Proceedings of the 5th International …, 2006 | 68 | 2006 |
| Gaussian Processes for Learning and Control: A Tutorial with Examples M Liu, G Chowdhary, BC Da Silva, SY Liu, JP How IEEE Control Systems Magazine 38 (5), 53-86, 2018 | 62 | 2018 |
| Learning parameterized motor skills on a humanoid robot BC Da Silva, G Baldassarre, G Konidaris, A Barto 2014 IEEE International Conference on Robotics and Automation (ICRA), 5239-5244, 2014 | 54 | 2014 |
| A task-and-technique centered survey on visual analytics for deep learning model engineering R Garcia, AC Telea, BC da Silva, J Tørresen, JLD Comba Computers & Graphics 77, 30-49, 2018 | 40 | 2018 |
| Adaptive traffic control with reinforcement learning BC Silva, D Oliveira, ALC Bazzan, EW Basso Proceedings of the 4th Workshop on Agents in Traffic and Transportation …, 2006 | 37 | 2006 |
| Analysing the impact of travel information for minimising the regret of route choice GO Ramos, ALC Bazzan, BC da Silva Transportation Research Part C: Emerging Technologies 88, 257-271, 2018 | 33 | 2018 |
| Improving reinforcement learning with context detection BC Da Silva, EW Basso, FS Perotto, AL C Bazzan, PM Engel 5th International Joint Conference on Autonomous Agents and Multiagent …, 2006 | 26 | 2006 |
| Active learning of parameterized skills B Da Silva, G Konidaris, A Barto International Conference on Machine Learning (ICML 2014), 1737-1745, 2014 | 22 | 2014 |
| Universal off-policy evaluation Y Chandak, S Niekum, B da Silva, E Learned-Miller, E Brunskill, ... Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 27475-27490, 2021 | 21 | 2021 |
| Autonomous Reinforcement Learning of Multiple Interrelated Tasks VG Santucci, E Cartoni, BC da Silva, G Baldassarre 9th Joint IEEE International Conference on Development and Learning and on …, 2019 | 18 | 2019 |
| Energetic natural gradient descent P Thomas, BC Silva, C Dann, E Brunskill International Conference on Machine Learning (ICML 2016), 2887-2895, 2016 | 17 | 2016 |
| On ensuring that intelligent machines are well-behaved PS Thomas, BC da Silva, AG Barto, E Brunskill arXiv preprint arXiv:1708.05448, 2017 | 16 | 2017 |
| Accelerating multi-agent reinforcement learning with dynamic co-learning D Garant, BC da Silva, V Lesser, C Zhang Technical report, Tech. Rep., 2015 | 15 | 2015 |
| Learning to minimise regret in route choice GO Ramos, BC da Silva, ALC Bazzan Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 12 | 2017 |
| Towards a physiological model of emotions: first steps LB De Almeida, BC Da Silva, ALC Bazzan Proceedings of the 2004 AAAI Spring Symposium. AAAI Press, Menlo Park, CA, 2004 | 12 | 2004 |
Ana BazzanUFRGSVerified email at inf.ufrgs.br
