Diana Borsa
Title
Cited by
Cited by
Year
Detecting disease outbreaks in mass gatherings using Internet data
E Yom-Tov, D Borsa, IJ Cox, RA McKendry
Journal of medical Internet research 16 (6), e154, 2014
572014
Transfer in deep reinforcement learning using successor features and generalised policy improvement
A Barreto, D Borsa, J Quan, T Schaul, D Silver, M Hessel, D Mankowitz, ...
International Conference on Machine Learning, 501-510, 2018
422018
Automatic identification of Web-based risk markers for health events
E Yom-Tov, D Borsa, AC Hayward, RA McKendry, IJ Cox
Journal of medical Internet research 17 (1), e29, 2015
272015
Observational learning by reinforcement learning
D Borsa, B Piot, R Munos, O Pietquin
arXiv preprint arXiv:1706.06617, 2017
202017
Ray interference: a source of plateaus in deep reinforcement learning
T Schaul, D Borsa, J Modayil, R Pascanu
arXiv preprint arXiv:1904.11455, 2019
162019
Learning shared representations in multi-task reinforcement learning
D Borsa, T Graepel, J Shawe-Taylor
arXiv preprint arXiv:1603.02041, 2016
162016
Training deep neural nets to aggregate crowdsourced responses
A Gaunt, D Borsa, Y Bachrach
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial …, 2016
142016
Universal successor features approximators
D Borsa, A Barreto, J Quan, D Mankowitz, R Munos, H van Hasselt, ...
arXiv preprint arXiv:1812.07626, 2018
132018
The termination critic
A Harutyunyan, W Dabney, D Borsa, N Heess, R Munos, D Precup
arXiv preprint arXiv:1902.09996, 2019
112019
General non-linear bellman equations
H van Hasselt, J Quan, M Hessel, Z Xu, D Borsa, A Barreto
arXiv preprint arXiv:1907.03687, 2019
32019
The option keyboard: Combining skills in reinforcement learning
A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, D Toyama, ...
Advances in Neural Information Processing Systems, 13052-13062, 2019
32019
The wreath process: A totally generative model of geometric shape based on nested symmetries
D Borsa, T Graepel, A Gordon
arXiv preprint arXiv:1506.03041, 2015
32015
Conditional importance sampling for off-policy learning
M Rowland, A Harutyunyan, H Hasselt, D Borsa, T Schaul, R Munos, ...
International Conference on Artificial Intelligence and Statistics, 45-55, 2020
22020
Adapting behaviour for learning progress
T Schaul, D Borsa, D Ding, D Szepesvari, G Ostrovski, W Dabney, ...
arXiv preprint arXiv:1912.06910, 2019
22019
Expected Eligibility Traces
H van Hasselt, S Madjiheurem, M Hessel, D Silver, A Barreto, D Borsa
arXiv preprint arXiv:2007.01839, 2020
2020
Detection of Disease Outbreaks in Mass Gatherings Using Internet Data
I Cox
Medicine 2.0 Conference, 2013
2013
Implementation and demonstration of continuous-valued OOMs learning algorithm
DL Borsa
2011
Learning shared structures in MDPs from multiple tasks
D Borsa, T Graepel, J Shawe-Taylor
LUBRICATION MODEL FOR THE FLOW DRIVEN BY HIGH SURFACE TENSION
ER Borsa, DL Borsa
Lubrication model for the flow driven by high surface tension 1 Emilia …, 0
The system can't perform the operation now. Try again later.
Articles 1–19