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Gradient Estimation Using Stochastic Computation Graphs.

J. Schulman, N. Heess, T. Weber, and P. Abbeel. NIPS, page 3528-3536. (2015)

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Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Gerhard Heess

Other publications of authors with the same name

Passing Expectation Propagation Messages with Kernel Methods.W. Jitkrittum, A. Gretton, and N. Heess. CoRR, (2015)Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search.L. Buesing, T. Weber, Y. Zwols, S. Racanière, A. Guez, J. Lespiau, and N. Heess. CoRR, (2018)Self-supervised Learning of Image Embedding for Continuous Control.C. Florensa, J. Degrave, N. Heess, J. Springenberg, and M. Riedmiller. CoRR, (2019)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)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)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)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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Gradient Estimation Using Stochastic Computation Graphs.

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 Gradient Estimation Using Stochastic Computation Graphs.

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
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APA
Chicago
DIN 1505
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Gradient Estimation Using Stochastic Computation Graphs.