Bruno Castro da Silva
Cited by
Cited by
Learning parameterized skills
BC da Silva, G Konidaris, A Barto
Proceedings of the 29th International Conference on Machine Learning (ICML 2012), 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
Learning in groups of traffic signals
ALC Bazzan, D De Oliveira, BC da Silva
Engineering Applications of Artificial Intelligence 23 (4), 560-568, 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
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
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
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
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
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
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
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
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
Active learning of parameterized skills
B Da Silva, G Konidaris, A Barto
International Conference on Machine Learning (ICML 2014), 1737-1745, 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
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
Energetic natural gradient descent
P Thomas, BC Silva, C Dann, E Brunskill
International Conference on Machine Learning (ICML 2016), 2887-2895, 2016
On ensuring that intelligent machines are well-behaved
PS Thomas, BC da Silva, AG Barto, E Brunskill
arXiv preprint arXiv:1708.05448, 2017
Accelerating multi-agent reinforcement learning with dynamic co-learning
D Garant, BC da Silva, V Lesser, C Zhang
Technical report, Tech. Rep., 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
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
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