Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.

H. Furuta, T. Matsushima, T. Kozuno, Y. Matsuo, S. Levine, O. Nachum, and S. Gu. ICML, volume 139 of Proceedings of Machine Learning Research, page 3541-3552. PMLR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Marc Levine

David Levine

Martin Levine

Glenn S Levine

Sergey Stepanov

Other publications of authors with the same name

Guided Policy Search.S. Levine, and V. Koltun. ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1-9. JMLR.org, (2013)Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.X. Peng, A. Kanazawa, S. Toyer, P. Abbeel, and S. Levine. ICLR (Poster), OpenReview.net, (2019)Learning Actionable Representations with Goal Conditioned Policies.D. Ghosh, A. Gupta, and S. Levine. ICLR (Poster), OpenReview.net, (2019)EPOpt: Learning Robust Neural Network Policies Using Model Ensembles.A. Rajeswaran, S. Ghotra, B. Ravindran, and S. Levine. ICLR (Poster), OpenReview.net, (2017)Diagnosing Bottlenecks in Deep Q-learning Algorithms.J. Fu, A. Kumar, M. Soh, and S. Levine. ICML, volume 97 of Proceedings of Machine Learning Research, page 2021-2030. PMLR, (2019)Learning a Prior over Intent via Meta-Inverse Reinforcement Learning.K. Xu, E. Ratner, A. Dragan, S. Levine, and C. Finn. ICML, volume 97 of Proceedings of Machine Learning Research, page 6952-6962. PMLR, (2019)SMiRL: Surprise Minimizing RL in Dynamic Environments.G. Berseth, D. Geng, C. Devin, C. Finn, D. Jayaraman, and S. Levine. CoRR, (2019)Learning force-based manipulation of deformable objects from multiple demonstrations.A. Lee, H. Lu, A. Gupta, S. Levine, and P. Abbeel. ICRA, page 177-184. IEEE, (2015)Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning.I. Kostrikov, L. Smith, and S. Levine. Robotics: Science and Systems, (2023)Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.A. Herzog, K. Rao, K. Hausman, Y. Lu, P. Wohlhart, M. Yan, J. Lin, M. Arenas, T. Xiao, D. Kappler and 30 other author(s). Robotics: Science and Systems, (2023)

BibSonomy

Disambiguation of "Levine, Sergey"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.

Please choose a person to relate this publication to

Marc Levine

David Levine

Martin Levine

Glenn S Levine

Sergey Stepanov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Levine, Sergey"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.

Please choose a person to relate this publication to

Marc Levine

David Levine

Martin Levine

Glenn S Levine

Sergey Stepanov

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.