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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. AAAI, page 3796-3803. AAAI Press, (2019)

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Lasse Rabenstein

Lasse Loft

Lasse Nielsen

Lasse Rempe

Lasse Lehnert

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Agent-Centric Representations for Multi-Agent Reinforcement Learning.W. Shang, L. Espeholt, A. Raichuk, and T. Salimans. CoRR, (2021)Multi-task Deep Reinforcement Learning with PopArt.M. Hessel, H. Soyer, L. Espeholt, W. Czarnecki, S. Schmitt, and H. van Hasselt. CoRR, (2018)Google Research Football: A Novel Reinforcement Learning Environment.K. Kurach, A. Raichuk, P. Stanczyk, M. Zajac, O. Bachem, L. Espeholt, C. Riquelme, D. Vincent, M. Michalski, O. Bousquet and 1 other author(s). CoRR, (2019)MetNet: A Neural Weather Model for Precipitation Forecasting.C. Sønderby, L. Espeholt, J. Heek, M. Dehghani, A. Oliver, T. Salimans, S. Agrawal, J. Hickey, and N. Kalchbrenner. CoRR, (2020)Teaching Machines to Read and ComprehendK. Hermann, T. Kočiský, E. Grefenstette, L. Espeholt, W. Kay, M. Suleyman, and P. Blunsom. (2015)cite arxiv:1506.03340Comment: Appears in: Advances in Neural Information Processing Systems 28 (NIPS 2015). 14 pages, 13 figures.Deep learning for twelve hour precipitation forecastsL. Espeholt, S. Agrawal, C. Sønderby, M. Kumar, J. Heek, C. Bromberg, C. Gazen, R. Carver, M. Andrychowicz, J. Hickey and 2 other author(s). Nature Communications, 13 (1): 5145 (September 2022)Number: 1 Publisher: Nature Publishing Group.SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference.L. Espeholt, R. Marinier, P. Stanczyk, K. Wang, and M. Michalski. CoRR, (2019)Deep Learning for Day Forecasts from Sparse Observations.M. Andrychowicz, L. Espeholt, D. Li, S. Merchant, A. Merose, F. Zyda, S. Agrawal, and N. Kalchbrenner. CoRR, (2023)Boosting Search Engines with Interactive Agents.L. Adolphs, B. Börschinger, C. Buck, M. Huebscher, M. Ciaramita, L. Espeholt, T. Hofmann, Y. Kilcher, S. Rothe, P. Sessa and 1 other author(s). Trans. Mach. Learn. Res., (2022)SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference.L. Espeholt, R. Marinier, P. Stanczyk, K. Wang, and M. Michalski. ICLR, OpenReview.net, (2020)

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Disambiguation of "Espeholt, Lasse"

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Multi-Task Deep Reinforcement Learning with PopArt.

Please choose a person to relate this publication to

Lasse Rabenstein

Lasse Loft

Lasse Nielsen

Lasse Rempe

Lasse Lehnert

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Espeholt, Lasse"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-Task Deep Reinforcement Learning with PopArt.

Please choose a person to relate this publication to

Lasse Rabenstein

Lasse Loft

Lasse Nielsen

Lasse Rempe

Lasse Lehnert

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Multi-Task Deep Reinforcement Learning with PopArt.