Understanding Self-Predictive Learning for Reinforcement Learning - researchr publication authors

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Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György 0001, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko. Understanding Self-Predictive Learning for Reinforcement Learning. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 33632-33656, PMLR, 2023. [doi]

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