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Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

M. Neunert, A. Abdolmaleki, M. Wulfmeier, T. Lampe, J. Springenberg, R. Hafner, F. Romano, J. Buchli, N. Heess, and M. Riedmiller. CoRL, volume 100 of Proceedings of Machine Learning Research, page 735-751. PMLR, (2019)

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Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Gerhard Heess

Other publications of authors with the same name

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)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)V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.H. Song, A. Abdolmaleki, J. Springenberg, A. Clark, H. Soyer, J. Rae, S. Noury, A. Ahuja, S. Liu, D. Tirumala and 4 other author(s). ICLR, OpenReview.net, (2020)Learning Dexterous Manipulation from Suboptimal Experts.R. Jeong, J. Springenberg, J. Kay, D. Zheng, A. Galashov, N. Heess, and F. Nori. CoRL, volume 155 of Proceedings of Machine Learning Research, page 915-934. PMLR, (2020)Learning Continuous Control Policies by Stochastic Value Gradients.N. Heess, G. Wayne, D. Silver, T. Lillicrap, T. Erez, and Y. Tassa. NIPS, page 2944-2952. (2015)Filtering Variational Objectives.C. Maddison, D. Lawson, G. Tucker, N. Heess, M. Norouzi, A. Mnih, A. Doucet, and Y. Teh. NIPS, page 6573-6583. (2017)Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.S. Eslami, N. Heess, T. Weber, Y. Tassa, D. Szepesvari, K. Kavukcuoglu, and G. Hinton. NIPS, page 3225-3233. (2016)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). ICML, volume 139 of Proceedings of Machine Learning Research, page 11340-11350. PMLR, (2021)Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search.L. Buesing, T. Weber, Y. Zwols, S. Racanière, A. Guez, J. Lespiau, and N. Heess. CoRR, (2018)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)

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Disambiguation of "Heess, Nicolas"

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Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

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 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

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

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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Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.