| Reinforcement learning, fast and slow M Botvinick, S Ritter, JX Wang, Z Kurth-Nelson, C Blundell, D Hassabis Trends in cognitive sciences 23 (5), 408-422, 2019 | 710 | 2019 |
| Toward a universal decoder of linguistic meaning from brain activation F Pereira, B Lou, B Pritchett, S Ritter, SJ Gershman, N Kanwisher, ... Nature communications 9 (1), 963, 2018 | 361 | 2018 |
| Cognitive psychology for deep neural networks: A shape bias case study S Ritter, DGT Barrett, A Santoro, MM Botvinick Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 237 | 2017 |
| A comparative evaluation of off-the-shelf distributed semantic representations for modelling behavioural data F Pereira, S Gershman, S Ritter, M Botvinick Cognitive neuropsychology 33 (3-4), 175-190, 2016 | 164 | 2016 |
| Been there, done that: Meta-learning with episodic recall S Ritter, J Wang, Z Kurth-Nelson, S Jayakumar, C Blundell, R Pascanu, ... International conference on machine learning, 4354-4363, 2018 | 107 | 2018 |
| Synthetic returns for long-term credit assignment D Raposo, S Ritter, A Santoro, G Wayne, T Weber, M Botvinick, ... arXiv preprint arXiv:2102.12425, 2021 | 29 | 2021 |
| 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 |
| Mixture-of-Depths: Dynamically allocating compute in transformer-based language models D Raposo, S Ritter, B Richards, T Lillicrap, PC Humphreys, A Santoro arXiv preprint arXiv:2404.02258, 2024 | 21 | 2024 |
| Episodic Control as Meta-Reinforcement Learning S Ritter, JX Wang, Z Kurth-Nelson, MM Botvinick bioRxiv, 360537, 2018 | 19 | 2018 |
| Toward a universal decoder of linguistic meaning from brain activation. Nat Commun 9: 963 F Pereira, B Lou, B Pritchett, S Ritter, SJ Gershman, N Kanwisher, ... | 13 | 2018 |
| Leveraging preposition ambiguity to assess compositional distributional models of semantics S Ritter, C Long, D Paperno, M Baroni, M Botvinick, A Goldberg Proceedings of the Fourth Joint Conference on Lexical and Computational …, 2015 | 12 | 2015 |
| Causation, force, and the sense of touch P Wolff, S Ritter, K Holmes Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 11 | 2014 |
| Meta-reinforcement learning with episodic recall: An integrative theory of reward-driven learning S Ritter Princeton University, 2019 | 6 | 2019 |
| Leveraging preposition ambiguity to assess representation of semantic interaction in cdsm AG Samuel Ritter, Cotie Long, Denis Paperno, Marco Baroni, Matthew Botvinick NIPS Workshop on Learning Semantics, 2014 | 5* | 2014 |
| 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 |
| Selecting actions by reverting to previous learned action selection policies S Ritter, XJ Wang, S Jayakumar, R Pascanu, C Blundell, M Botvinick US Patent 11,423,300, 2022 | 2 | 2022 |
| How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy B AlKhamissi, A Srinivasan, ZK Nelson, S Ritter arXiv preprint arXiv:2112.08360, 2021 | 1 | 2021 |
| Controlling agents using state associative learning for long-term credit assignment S Ritter, DN Raposo US Patent App. 18/275,542, 2024 | | 2024 |
| Scientific Life 363 Emerging Opportunities for Advancing Cognitive Neuroscience Science & Society 365 Holding Robots Responsible A Waytz, R Alterovitz, K Gray, P Van Dessel, B Gawronski, J De Houwer, ... Trends in Cognitive Sciences 23 (5), 2019 | | 2019 |
| Causation and the Somatosensory System SW Ritter Emory University, 2011 | | 2011 |
Matthew BotvinickGoogle DeepMind, Yale Law School, University College London在 google.com 的电子邮件经过验证
