Diana L. Borsa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
3
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. | Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo vila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L. Borsa, Arthur Guez, Will Dabney |
| 2025 | ICML | Wasserstein Policy Optimization. | David Pfau, Ian Davies, Diana L. Borsa, Joo Guilherme Madeira Arajo, Brendan D. Tracey, Hado van Hasselt |
| 2023 | ICML | Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition. | Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Rmi Munos, Will Dabney, Diana L. Borsa |
| 2022 | ICLR | When should agents explore? | Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana L. Borsa, Tom Schaul |