Jesse Farebrother
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
3
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. | Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury |
| 2025 | ICLR | Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. | Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta |
| 2025 | ICML | Temporal Difference Flows. | Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rmi Munos, Alessandro Lazaric, Ahmed Touati |
| 2024 | ICML | Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. | Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal |
| 2024 | ICML | Mixtures of Experts Unlock Parameter Scaling for Deep RL. | Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro |
| 2024 | ICML | A Distributional Analogue to the Successor Representation. | Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andr Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland |
| 2023 | AISTATS | A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces. | Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare |
| 2023 | ICLR | Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks. | Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare |
| 2023 | ICLR | Investigating Multi-task Pretraining and Generalization in Reinforcement Learning. | Adrien Ali Taga, Rishabh Agarwal, Jesse Farebrother, Aaron C. Courville, Marc G. Bellemare |