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Deep Reinforcement Learning and the Deadly Triad.

H. van Hasselt, Y. Doron, F. Strub, M. Hessel, N. Sonnerat, and J. Modayil. CoRR, (2018)

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Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

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Multi-task Deep Reinforcement Learning with PopArt.M. Hessel, H. Soyer, L. Espeholt, W. Czarnecki, S. Schmitt, and H. van Hasselt. CoRR, (2018)Rainbow: Combining Improvements in Deep Reinforcement LearningM. Hessel, J. Modayil, H. van Hasselt, T. Schaul, G. Ostrovski, W. Dabney, D. Horgan, B. Piot, M. Azar, and D. Silver. (2017)cite arxiv:1710.02298Comment: Under review as a conference paper at AAAI 2018.Podracer architectures for scalable Reinforcement Learning.M. Hessel, M. Kroiss, A. Clark, I. Kemaev, J. Quan, T. Keck, F. Viola, and H. van Hasselt. CoRR, (2021)Machine Learning for Parameter Screening in Computer Simulations.M. Hessel, F. Ortalli, and F. Borgatelli. MESAS, volume 8906 of Lecture Notes in Computer Science, page 308-320. Springer, (2014)Rainbow: Combining Improvements in Deep Reinforcement Learning.M. Hessel, J. Modayil, H. van Hasselt, T. Schaul, G. Ostrovski, W. Dabney, D. Horgan, B. Piot, M. Azar, and D. Silver. AAAI, page 3215-3222. AAAI Press, (2018)Discovery of Options via Meta-Learned Subgoals.V. Veeriah, T. Zahavy, M. Hessel, Z. Xu, J. Oh, I. Kemaev, H. van Hasselt, D. Silver, and S. Singh. NeurIPS, page 29861-29873. (2021)Dueling Network Architectures for Deep Reinforcement LearningZ. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. (2015)cite arxiv:1511.06581Comment: 15 pages, 5 figures, and 5 tables.Dueling Network Architectures for Deep Reinforcement Learning.Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1995-2003. JMLR.org, (2016)Expected Eligibility Traces.H. van Hasselt, S. Madjiheurem, M. Hessel, D. Silver, A. Barreto, and D. Borsa. AAAI, page 9997-10005. AAAI Press, (2021)Learning values across many orders of magnitude.H. van Hasselt, A. Guez, M. Hessel, V. Mnih, and D. Silver. NIPS, page 4287-4295. (2016)

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Disambiguation of "Hessel, Matteo"

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Deep Reinforcement Learning and the Deadly Triad.

Please choose a person to relate this publication to

Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hessel, Matteo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Reinforcement Learning and the Deadly Triad.

Please choose a person to relate this publication to

Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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Deep Reinforcement Learning and the Deadly Triad.