Pablo Samuel Castro
Research Areas
Authored Publications
Sort By
Google
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother
Joshua Greaves
Charline Le Lan
Marc Bellemare
International Conference on Learning Representations (ICLR) (2023)
Offline Reinforcement Learning with On-Policy Q-Function Regularization
Laixi Shi
Yuejie Chi
Matthieu Geist
European Conference on Machine Learning (ECML) (2023)
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer
Johan Obando Ceron
Aaron Courville
Marc Bellemare
ICML (2023)
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Max Allen Schwarzer
Aaron Courville
Marc G. Bellemare
NeurIPS (2022)
The State of Sparse Training in Deep Reinforcement Learning
Erich Elsen
Proceedings of the 39th International Conference on Machine Learning, PMLR (2022)
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)
Revisiting Rainbow: More inclusive deep reinforcement learning research
Johan Samir Obando-Cerón
Proceedings of the 38th International Conference on Machine Learning, PMLR (2021)
Contrastive Behavioural Similarity Embeddings for Generalization in Reinforcement Learning
Marlos C. Machado
Marc G. Bellemare
International Conference on Learning Representations (2021)
