Robert Dadashi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | WARM: On the Benefits of Weight Averaged Reward Models. | Alexandre Ram, Nino Vieillard, Lonard Hussenot, Robert Dadashi, Geoffrey Cideron, Olivier Bachem, Johan Ferret |
| 2023 | ACL | Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. | Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Lonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor |
| 2022 | AAAI | Offline Reinforcement Learning as Anti-exploration. | Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Lonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist |
| 2022 | ICML | Continuous Control with Action Quantization from Demonstrations. | Robert Dadashi, Lonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin |
| 2021 | AAAI | The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. | Will Dabney, Andr Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver |
| 2021 | ICLR | Primal Wasserstein Imitation Learning. | Robert Dadashi, Lonard Hussenot, Matthieu Geist, Olivier Pietquin |
| 2021 | ICML | Offline Reinforcement Learning with Pseudometric Learning. | Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Lonard Hussenot, Olivier Pietquin, Matthieu Geist |
| 2021 | ICML | Hyperparameter Selection for Imitation Learning. | Lonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphal Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin |
| 2019 | ICML | The Value Function Polytope in Reinforcement Learning. | Robert Dadashi, Marc G. Bellemare, Adrien Ali Taga, Nicolas Le Roux, Dale Schuurmans |
| 2019 | ICML | Statistics and Samples in Distributional Reinforcement Learning. | Mark Rowland, Robert Dadashi, Saurabh Kumar, Rmi Munos, Marc G. Bellemare, Will Dabney |