Pablo Samuel Castro

Pablo Samuel Castro

Research Areas

Authored Publications
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    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)
    Metrics and continuity in reinforcement learning
    Charline Le Lan
    Marc G. Bellemare
    AAAI 2021 (2021)