
Pablo Samuel Castro
Research Areas
Authored Publications
Sort By
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother
Joshua Greaves
Rishabh Agarwal
Charline Le Lan
Marc Bellemare
International Conference on Learning Representations (ICLR) (2023)
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer
Johan Obando Ceron
Aaron Courville
Marc Bellemare
Rishabh Agarwal
ICML (2023)
Offline Reinforcement Learning with On-Policy Q-Function Regularization
Laixi Shi
Yuejie Chi
Matthieu Geist
European Conference on Machine Learning (ECML) (2023)
A general class of surrogate functions for stable and efficient reinforcement learning
Sharan Vaswani
Simone Totaro
Robert Müller
Shivam Garg
Matthieu Geist
Marlos C. Machado
Nicolas Le Roux
AISTATS (2022)
The State of Sparse Training in Deep Reinforcement Learning
Erich Elsen
Proceedings of the 39th International Conference on Machine Learning, PMLR (2022)
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Allen Schwarzer
Aaron Courville
Marc G. Bellemare
NeurIPS (2022)