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Dueling Network Architectures for Deep Reinforcement Learning.

Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, и N. de Freitas. ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1995-2003. JMLR.org, (2016)

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Peter van Hasselt

Rudolf Hasselt

Matthias Hadorn

Kristin Hasselt

Другие публикации лиц с тем же именем

Behaviour Suite for Reinforcement LearningI. Osband, Y. Doron, M. Hessel, J. Aslanides, E. Sezener, A. Saraiva, K. McKinney, T. Lattimore, C. Szepesvári, S. Singh и 4 other автор(ы). ICLR, (2020)Unicorn: Continual Learning with a Universal, Off-policy Agent.D. Mankowitz, A. Zídek, A. Barreto, D. Horgan, M. Hessel, J. Quan, J. Oh, H. van Hasselt, D. Silver, и T. Schaul. CoRR, (2018)What Can Learned Intrinsic Rewards Capture?Z. Zheng, J. Oh, M. Hessel, Z. Xu, M. Kroiss, H. van Hasselt, D. Silver, и S. Singh. CoRR, (2019)Multi-Task Deep Reinforcement Learning with PopArt.M. Hessel, H. Soyer, L. Espeholt, W. Czarnecki, S. Schmitt, и H. van Hasselt. AAAI, стр. 3796-3803. AAAI Press, (2019)What Can Learned Intrinsic Rewards Capture?Z. Zheng, J. Oh, M. Hessel, Z. Xu, M. Kroiss, H. van Hasselt, D. Silver, и S. Singh. ICML, том 119 из Proceedings of Machine Learning Research, стр. 11436-11446. PMLR, (2020)Weighted importance sampling for off-policy learning with linear function approximation.A. Mahmood, H. van Hasselt, и R. Sutton. NIPS, стр. 3014-3022. (2014)Behaviour Suite for Reinforcement Learning.I. Osband, Y. Doron, M. Hessel, J. Aslanides, E. Sezener, A. Saraiva, K. McKinney, T. Lattimore, C. Szepesvári, S. Singh и 4 other автор(ы). ICLR, OpenReview.net, (2020)Conditional Importance Sampling for Off-Policy Learning.M. Rowland, A. Harutyunyan, H. van Hasselt, D. Borsa, T. Schaul, R. Munos, и W. Dabney. AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 45-55. PMLR, (2020)Meta-learning of Sequential Strategies.P. Ortega, J. Wang, M. Rowland, T. Genewein, Z. Kurth-Nelson, R. Pascanu, N. Heess, J. Veness, A. Pritzel, P. Sprechmann и 14 other автор(ы). CoRR, (2019)Estimating the Maximum Expected Value: An Analysis of (Nested) Cross Validation and the Maximum Sample AverageH. van Hasselt. CoRR, (2013)

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Peter van Hasselt

Peter van Hasselt

Rudolf Hasselt

Matthias Hadorn

Kristin Hasselt

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копироватьудалитьдобавить публикацию в буферЗапись сообществапосмотреть историю данной записиURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dueling Network Architectures for Deep Reinforcement Learning.

Please choose a person to relate this publication to

Peter van Hasselt

Peter van Hasselt

Rudolf Hasselt

Matthias Hadorn

Kristin Hasselt

Другие публикации лиц с тем же именем

Disambiguation