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Understanding Self-Predictive Learning for Reinforcement Learning.

Y. Tang, Z. Guo, P. Richemond, B. Pires, Y. Chandak, R. Munos, M. Rowland, M. Azar, C. Lan, C. Lyle, A. György, S. Thakoor, W. Dabney, B. Piot, D. Calandriello, and M. Valko. ICML, volume 202 of Proceedings of Machine Learning Research, page 33632-33656. PMLR, (2023)

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Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Yubo Tang

Other publications of authors with the same name

Exploration by Distributional Reinforcement Learning.Y. Tang, and S. Agrawal. IJCAI, page 2710-2716. ijcai.org, (2018)Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies.Y. Tang, and K. Choromanski. CoRR, (2020)Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy.Y. Tang, M. Yin, and M. Zhou. CoRR, (2019)KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal.T. Kozuno, W. Yang, N. Vieillard, T. Kitamura, Y. Tang, J. Mei, P. Ménard, M. Azar, M. Valko, R. Munos and 3 other author(s). CoRR, (2022)Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning.Y. Tang. CoRR, (2021)An Analysis of Quantile Temporal-Difference Learning.M. Rowland, R. Munos, M. Azar, Y. Tang, G. Ostrovski, A. Harutyunyan, K. Tuyls, M. Bellemare, and W. Dabney. CoRR, (2023)Understanding Self-Predictive Learning for Reinforcement Learning.Y. Tang, Z. Guo, P. Richemond, B. Pires, Y. Chandak, R. Munos, M. Rowland, M. Azar, C. Lan, C. Lyle and 6 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 33632-33656. PMLR, (2023)VA-learning as a more efficient alternative to Q-learning.Y. Tang, R. Munos, M. Rowland, and M. Valko. ICML, volume 202 of Proceedings of Machine Learning Research, page 33739-33757. PMLR, (2023)Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning.Y. Tang. ICML, volume 162 of Proceedings of Machine Learning Research, page 21050-21075. PMLR, (2022)The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation.M. Rowland, Y. Tang, C. Lyle, R. Munos, M. Bellemare, and W. Dabney. ICML, volume 202 of Proceedings of Machine Learning Research, page 29210-29231. PMLR, (2023)

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Disambiguation of "Tang, Yunhao"

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Understanding Self-Predictive Learning for Reinforcement Learning.

Please choose a person to relate this publication to

Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Yubo Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tang, Yunhao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Understanding Self-Predictive Learning for Reinforcement Learning.

Please choose a person to relate this publication to

Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Yubo Tang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Understanding Self-Predictive Learning for Reinforcement Learning.