Diana Borsa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2016–2022
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICML | Model-Value Inconsistency as a Signal for Epistemic Uncertainty. | Angelos Filos, Eszter Vrtes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, Andr Barreto, Simon Osindero |
| 2022 | ICML | Generalised Policy Improvement with Geometric Policy Composition. | Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rmi Munos, Andr Barreto |
| 2021 | AAAI | Expected Eligibility Traces. | Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, Andr Barreto, Diana Borsa |
| 2020 | AISTATS | Conditional Importance Sampling for Off-Policy Learning. | Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rmi Munos, Will Dabney |
| 2019 | AISTATS | The Termination Critic. | Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rmi Munos, Doina Precup |
| 2019 | ICLR | Universal Successor Features Approximators. | Diana Borsa, Andr Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rmi Munos, David Silver, Tom Schaul |
| 2018 | ICML | Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. | Andr Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zdek, Rmi Munos |
| 2016 | UAI | Training Neural Nets to Aggregate Crowdsourced Responses. | Alex Gaunt, Diana Borsa, Yoram Bachrach |