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Relational inductive biases, deep learning, and graph networks.

P. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner, Ç. Gülçehre, H. Song, A. Ballard, J. Gilmer, G. Dahl, A. Vaswani, K. Allen, C. Nash, V. Langston, C. Dyer, N. Heess, D. Wierstra, P. Kohli, M. Botvinick, O. Vinyals, Y. Li, and R. Pascanu. CoRR, (2018)

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Sevinc Caglar

Murat Caglar

Leyla Caglar

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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). ICML, volume 119 of Proceedings of Machine Learning Research, page 7487-7498. PMLR, (2020)Regularized Behavior Value Estimation.Ç. Gülçehre, S. Colmenarejo, Z. Wang, J. Sygnowski, T. Paine, K. Zolna, Y. Chen, M. Hoffman, R. Pascanu, and N. de Freitas. CoRR, (2021)Knowledge Matters: Importance of Prior Information for Optimization.Ç. Gülçehre, and Y. Bengio. J. Mach. Learn. Res., (2016)Plan, Attend, Generate: Planning for Sequence-to-Sequence Models.Ç. Gülçehre, F. Dutil, A. Trischler, and Y. Bengio. NIPS, page 5474-5483. (2017)RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.Ç. Gülçehre, Z. Wang, A. Novikov, T. Paine, S. Colmenarejo, K. Zolna, R. Agarwal, J. Merel, D. Mankowitz, C. Paduraru and 6 other author(s). NeurIPS, (2020)Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models.Y. Kim, G. Singh, J. Park, Ç. Gülçehre, and S. Ahn. CoRR, (2023)Offline Learning from Demonstrations and Unlabeled Experience.K. Zolna, A. Novikov, K. Konyushkova, Ç. Gülçehre, Z. Wang, Y. Aytar, M. Denil, N. de Freitas, and S. Reed. CoRR, (2020)Combining modality specific deep neural networks for emotion recognition in video.S. Kahou, C. Pal, X. Bouthillier, P. Froumenty, Ç. Gülçehre, R. Memisevic, P. Vincent, A. Courville, Y. Bengio, R. Ferrari and 17 other author(s). ICMI, page 543-550. ACM, (2013)Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.Ç. Gülçehre, T. Paine, B. Shahriari, M. Denil, M. Hoffman, H. Soyer, R. Tanburn, S. Kapturowski, N. Rabinowitz, D. Williams and 4 other author(s). ICLR, OpenReview.net, (2020)Improving the Gating Mechanism of Recurrent Neural Networks.A. Gu, Ç. Gülçehre, T. Paine, M. Hoffman, and R. Pascanu. ICML, volume 119 of Proceedings of Machine Learning Research, page 3800-3809. PMLR, (2020)

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Relational inductive biases, deep learning, and graph networks.

Please choose a person to relate this publication to

Sevinc Caglar

Murat Caglar

Leyla Caglar

Other publications of authors with the same name

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Disambiguation of "Gülçehre, Çaglar"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Relational inductive biases, deep learning, and graph networks.

Please choose a person to relate this publication to

Sevinc Caglar

Murat Caglar

Leyla Caglar

Other publications of authors with the same name

Disambiguation

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Relational inductive biases, deep learning, and graph networks.