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Distral: Robust multitask reinforcement learning.

Y. Teh, V. Bapst, W. Czarnecki, J. Quan, J. Kirkpatrick, R. Hadsell, N. Heess, and R. Pascanu. NIPS, page 4496-4506. (2017)

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Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Gerhard Heess

Other publications of authors with the same name

Actor-Critic Reinforcement Learning with Energy-Based Policies.N. Heess, D. Silver, and Y. Teh. EWRL, volume 24 of JMLR Proceedings, page 43-58. JMLR.org, (2012)Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection.J. Kivinen, C. Williams, and N. Heess. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 512-521. JMLR.org, (2014)Self-supervised Learning of Image Embedding for Continuous Control.C. Florensa, J. Degrave, N. Heess, J. Springenberg, and M. Riedmiller. CoRR, (2019)Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search.L. Buesing, T. Weber, Y. Zwols, S. Racanière, A. Guez, J. Lespiau, and N. Heess. CoRR, (2018)Emergence of Locomotion Behaviours in Rich Environments.N. Heess, D. TB, S. Sriram, J. Lemmon, J. Merel, G. Wayne, Y. Tassa, T. Erez, Z. Wang, S. Eslami and 2 other author(s). CoRR, (2017)Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.M. Vecerík, T. Hester, J. Scholz, F. Wang, O. Pietquin, B. Piot, N. Heess, T. Rothörl, T. Lampe, and M. Riedmiller. CoRR, (2017)Sim-to-Real Robot Learning from Pixels with Progressive Nets.A. Rusu, M. Vecerík, T. Rothörl, N. Heess, R. Pascanu, and R. Hadsell. CoRR, (2016)Distributed Distributional Deterministic Policy Gradients.G. Barth-Maron, M. Hoffman, D. Budden, W. Dabney, D. Horgan, D. TB, A. Muldal, N. Heess, and T. Lillicrap. ICLR (Poster), OpenReview.net, (2018)Passing Expectation Propagation Messages with Kernel Methods.W. Jitkrittum, A. Gretton, and N. Heess. CoRR, (2015)Data-efficient Hindsight Off-policy Option Learning.M. Wulfmeier, D. Rao, R. Hafner, T. Lampe, A. Abdolmaleki, T. Hertweck, M. Neunert, D. Tirumala, N. Siegel, N. Heess and 1 other author(s). CoRR, (2020)

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Disambiguation of "Heess, Nicolas"

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Distral: Robust multitask reinforcement learning.

Please choose a person to relate this publication to

Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Gerhard Heess

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Heess, Nicolas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Distral: Robust multitask reinforcement learning.

Please choose a person to relate this publication to

Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Gerhard Heess

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Distral: Robust multitask reinforcement learning.