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Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.

B. Shahriari, A. Abdolmaleki, A. Byravan, A. Friesen, S. Liu, J. Springenberg, N. Heess, M. Hoffman, and M. Riedmiller. CoRR, (2022)

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Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Reiner Heeß

Other publications of authors with the same name

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures.J. Uesato, A. Kumar, C. Szepesvári, T. Erez, A. Ruderman, K. Anderson, K. Dvijotham, N. Heess, and P. Kohli. ICLR (Poster), OpenReview.net, (2019)Neural Probabilistic Motor Primitives for Humanoid Control.J. Merel, L. Hasenclever, A. Galashov, A. Ahuja, V. Pham, G. Wayne, Y. Teh, and N. Heess. ICLR (Poster), OpenReview.net, (2019)Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces.G. Lorberbom, C. Maddison, N. Heess, T. Hazan, and D. Tarlow. CoRR, (2019)Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.M. Mirza, A. Jaegle, J. Hunt, A. Guez, S. Tunyasuvunakool, A. Muldal, T. Weber, P. Karkus, S. Racanière, L. Buesing and 2 other author(s). CoRR, (2020)Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification.D. Mankowitz, D. Calian, R. Jeong, C. Paduraru, N. Heess, S. Dathathri, M. Riedmiller, and T. Mann. CoRR, (2020)Behavior Priors for Efficient Reinforcement Learning.D. Tirumala, A. Galashov, H. Noh, L. Hasenclever, R. Pascanu, J. Schwarz, G. Desjardins, W. Czarnecki, A. Ahuja, Y. Teh and 1 other author(s). J. Mach. Learn. Res., (2022)Value constrained model-free continuous control.S. Bohez, A. Abdolmaleki, M. Neunert, J. Buchli, N. Heess, and R. Hadsell. CoRR, (2019)The Termination Critic.A. Harutyunyan, W. Dabney, D. Borsa, N. Heess, R. Munos, and D. Precup. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2231-2240. PMLR, (2019)Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions.L. Buesing, N. Heess, and T. Weber. CoRR, (2019)Reusable neural skill embeddings for vision-guided whole body movement and object manipulation.J. Merel, S. Tunyasuvunakool, A. Ahuja, Y. Tassa, L. Hasenclever, V. Pham, T. Erez, G. Wayne, and N. Heess. CoRR, (2019)

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Disambiguation of "Heess, Nicolas"

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Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.

Please choose a person to relate this publication to

Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Reiner 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 Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.

Please choose a person to relate this publication to

Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Reiner Heeß

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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Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.