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Causally Correct Partial Models for Reinforcement Learning.

D. Rezende, I. Danihelka, G. Papamakarios, N. Ke, R. Jiang, T. Weber, K. Gregor, H. Merzic, F. Viola, J. Wang, J. Mitrovic, F. Besse, I. Antonoglou, and L. Buesing. CoRR, (2020)

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Yuan-Nan Ke

Rosemary Passos

Rosemary Combridge

Rosemary Burton

Rosemary Park

Other publications of authors with the same name

Learning Neural Causal Models with Active Interventions.N. Scherrer, O. Bilaniuk, Y. Annadani, A. Goyal, P. Schwab, B. Schölkopf, M. Mozer, Y. Bengio, S. Bauer, and N. Ke. CoRR, (2021)Markerless Visual Control of a Quad-Rotor Micro Aerial Vehicle by Means of On-Board Stereo Processing.K. Schauwecker, N. Ke, S. Scherer, and A. Zell. AMS, page 11-20. Springer, (2012)Retrieval-Augmented Reinforcement Learning.A. Goyal, A. Friesen, A. Banino, T. Weber, N. Ke, A. Badia, A. Guez, M. Mirza, P. Humphreys, K. Konyushkova and 5 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 7740-7765. PMLR, (2022)h-detach: Modifying the LSTM Gradient Towards Better Optimization.D. Arpit, B. Kanuparthi, G. Kerg, N. Ke, I. Mitliagkas, and Y. Bengio. CoRR, (2018)Adversarial Gain.P. Henderson, K. Sinha, N. Ke, and J. Pineau. CoRR, (2018)Modeling the Long Term Future in Model-Based Reinforcement Learning.N. Ke, A. Singh, A. Touati, A. Goyal, Y. Bengio, D. Parikh, and D. Batra. ICLR (Poster), OpenReview.net, (2019)Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning.A. Didolkar, K. Gupta, A. Goyal, N. Gundavarapu, A. Lamb, N. Ke, and Y. Bengio. NeurIPS, (2022)Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.N. Ke, A. Didolkar, S. Mittal, A. Goyal, G. Lajoie, S. Bauer, D. Rezende, M. Mozer, Y. Bengio, and C. Pal. NeurIPS Datasets and Benchmarks, (2021)Ethical Challenges in Data-Driven Dialogue Systems.P. Henderson, K. Sinha, N. Angelard-Gontier, N. Ke, G. Fried, R. Lowe, and J. Pineau. AIES, page 123-129. ACM, (2018)Scaling Instructable Agents Across Many Simulated Worlds.S. Team, M. Raad, A. Ahuja, C. Barros, F. Besse, A. Bolt, A. Bolton, B. Brownfield, G. Buttimore, M. Cant and 83 other author(s). CoRR, (2024)

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Disambiguation of "Ke, Nan Rosemary"

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Causally Correct Partial Models for Reinforcement Learning.

Please choose a person to relate this publication to

Yuan-Nan Ke

Rosemary Passos

Rosemary Combridge

Rosemary Burton

Rosemary Park

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ke, Nan Rosemary"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Causally Correct Partial Models for Reinforcement Learning.

Please choose a person to relate this publication to

Yuan-Nan Ke

Rosemary Passos

Rosemary Combridge

Rosemary Burton

Rosemary Park

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Causally Correct Partial Models for Reinforcement Learning.