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Imagination-Augmented Agents for Deep Reinforcement Learning.

T. Weber, S. Racanière, D. Reichert, L. Buesing, A. Guez, D. Rezende, A. Badia, O. Vinyals, N. Heess, Y. Li, R. Pascanu, P. Battaglia, D. Silver, and D. Wierstra. CoRR, (2017)

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Dirk Heeß

Wilhelm Heeß

Walter Heess

Monika Heess

Reiner Heeß

Other publications of authors with the same name

Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions.L. Buesing, N. Heess, and T. Weber. CoRR, (2019)Stabilizing Transformers for Reinforcement Learning.E. Parisotto, H. Song, J. Rae, R. Pascanu, Ç. Gülçehre, S. Jayakumar, M. Jaderberg, R. Kaufman, A. Clark, S. Noury and 3 other author(s). 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)Learning a Generative Model of Images by Factoring Appearance and Shape.N. Roux, N. Heess, J. Shotton, and J. Winn. Neural Comput., 23 (3): 593-650 (2011)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)Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities.M. Wulfmeier, A. Byravan, S. Bechtle, K. Hausman, and N. Heess. CoRR, (2023)NfgTransformer: Equivariant Representation Learning for Normal-form Games.S. Liu, L. Marris, G. Piliouras, I. Gemp, and N. Heess. CoRR, (2024)On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.A. Abdolmaleki, S. Huang, G. Vezzani, B. Shahriari, J. Springenberg, S. Mishra, D. TB, A. Byravan, K. Bousmalis, A. György and 4 other author(s). CoRR, (2021)Replay across Experiments: A Natural Extension of Off-Policy RL.D. Tirumala, T. Lampe, J. Chen, T. Haarnoja, S. Huang, G. Lever, B. Moran, T. Hertweck, L. Hasenclever, M. Riedmiller and 2 other author(s). CoRR, (2023)

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Disambiguation of "Heess, Nicolas"

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Imagination-Augmented Agents for Deep Reinforcement Learning.

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 Imagination-Augmented Agents for Deep Reinforcement Learning.

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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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Imagination-Augmented Agents for Deep Reinforcement Learning.