Pablo Samuel Castro
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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
Rishabh Agarwal
ICML (2023)
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)
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Allen Schwarzer
Aaron Courville
Marc G. Bellemare
NeurIPS (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)
The State of Sparse Training in Deep Reinforcement Learning
Erich Elsen
Proceedings of the 39th International Conference on Machine Learning, PMLR (2022)
Contrastive Behavioural Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal
Marlos C. Machado
Marc G. Bellemare
International Conference on Learning Representations (2021)
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Aaron Courville
Marc G. Bellemare
Advances in Neural Information Processing Systems (2021)
