| Relational inductive biases, deep learning, and graph networks PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... arXiv preprint arXiv:1806.01261, 2018 | 3829 | 2018 |
| Grounded language learning in a simulated 3d world KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ... arXiv preprint arXiv:1706.06551, 2017 | 343* | 2017 |
| OpenSpiel: A framework for reinforcement learning in games M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ... arXiv preprint arXiv:1908.09453, 2019 | 267 | 2019 |
| Relational recurrent neural networks A Santoro, R Faulkner, D Raposo, J Rae, M Chrzanowski, T Weber, ... Advances in neural information processing systems 31, 2018 | 267 | 2018 |
| Generalization of reinforcement learners with working and episodic memory M Fortunato, M Tan, R Faulkner, S Hansen, A Puigdomènech Badia, ... Advances in neural information processing systems 32, 2019 | 72 | 2019 |
| Rapid task-solving in novel environments S Ritter, R Faulkner, L Sartran, A Santoro, M Botvinick, D Raposo arXiv preprint arXiv:2006.03662, 2020 | 28 | 2020 |
| Etiquette in wikipedia: Weaning new editors into productive ones R Faulkner, S Walling, M Pinchuk Proceedings of the Eighth Annual International Symposium on Wikis and Open …, 2012 | 22 | 2012 |
| Interval timing in deep reinforcement learning agents B Deverett, R Faulkner, M Fortunato, G Wayne, JZ Leibo Advances in Neural Information Processing Systems 32, 2019 | 17 | 2019 |
| Neural networks with relational memory M Chrzanowski, JW Rae, R Faulkner, TG Weber, DN Raposo, AA Santoro US Patent 10,853,725, 2020 | 10 | 2020 |
| Scaling Instructable Agents Across Many Simulated Worlds MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ... arXiv preprint arXiv:2404.10179, 2024 | 8* | 2024 |
| Dyna planning using a feature based generative model R Faulkner, D Precup arXiv preprint arXiv:1805.10129, 2010 | 6 | 2010 |
| Generating implicit plans for accomplishing goals in an environment using attention operations over planning embeddings S Ritter, R Faulkner, DN Raposo US Patent App. 17/794,780, 2023 | 2 | 2023 |
| Solving Reasoning Tasks with a Slot Transformer R Faulkner, D Zoran arXiv preprint arXiv:2210.11394, 2022 | | 2022 |
| Dyna learning with deep belief networks R Faulkner McGill University, 2011 | | 2011 |
| Relational inductive biases, deep learning, and graph networks (关系归纳偏差, 深度学习和图形网络) PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... | | |
David RaposoGoogle DeepMind, Champalimaud Neuroscience Programme, Cold Spring Harbor LaboratoryVerified email at google.com
