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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, C. Gulcehre, F. 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. (2018)cite arxiv:1806.01261.

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Learning to reinforcement learnJ. Wang, Z. Kurth-Nelson, D. Tirumala, H. Soyer, J. Leibo, R. Munos, C. Blundell, D. Kumaran, and M. Botvinick. (2016)cite arxiv:1611.05763Comment: 17 pages, 7 figures, 1 table.Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures.D. Ding, F. Hill, A. Santoro, and M. Botvinick. CoRR, (2020)Collaborating with Humans without Human Data.D. Strouse, K. McKee, M. Botvinick, E. Hughes, and R. Everett. NeurIPS, page 14502-14515. (2021)Attention over Learned Object Embeddings Enables Complex Visual Reasoning.D. Ding, F. Hill, A. Santoro, M. Reynolds, and M. Botvinick. NeurIPS, page 9112-9124. (2021)Cognitive Model Discovery via Disentangled RNNs.K. Miller, M. Eckstein, M. Botvinick, and Z. Kurth-Nelson. NeurIPS, (2023)Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study.S. Ritter, D. Barrett, A. Santoro, and M. Botvinick. ICML, volume 70 of Proceedings of Machine Learning Research, page 2940-2949. PMLR, (2017)Learning to reinforcement learn.J. Wang, Z. Kurth-Nelson, H. Soyer, J. Leibo, D. Tirumala, R. Munos, C. Blundell, D. Kumaran, and M. Botvinick. CogSci, cognitivesciencesociety.org, (2017)Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem.R. Koster, M. Pîslar, A. Tacchetti, J. Balaguer, L. Liu, R. Elie, O. Hauser, K. Tuyls, M. Botvinick, and C. Summerfield. CoRR, (2024)Fine-tuning language models to find agreement among humans with diverse preferences.M. Bakker, M. Chadwick, H. Sheahan, M. Tessler, L. Campbell-Gillingham, J. Balaguer, N. McAleese, A. Glaese, J. Aslanides, M. Botvinick and 1 other author(s). NeurIPS, (2022)SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.R. Kabra, D. Zoran, G. Erdogan, L. Matthey, A. Creswell, M. Botvinick, A. Lerchner, and C. Burgess. NeurIPS, page 20146-20159. (2021)

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Disambiguation of "Botvinick, Matt"

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Relational inductive biases, deep learning, and graph networks

Please choose a person to relate this publication to

Hildegard Matt

Konrad Matt

Lucas Matt

Franz Matt

Sonja Matt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Botvinick, Matt"

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

Hildegard Matt

Konrad Matt

Lucas Matt

Franz Matt

Sonja Matt

Other publications of authors with the same name

Disambiguation

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Relational inductive biases, deep learning, and graph networks