| Learning to reinforcement learn JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ... arXiv preprint arXiv:1611.05763, 2016 | 1051 | 2016 |
| 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 | 662 | 2019 |
| Prefrontal cortex as a meta-reinforcement learning system JX Wang, Z Kurth-Nelson, D Kumaran, D Tirumala, H Soyer, JZ Leibo, ... Nature neuroscience 21 (6), 860, 2018 | 611 | 2018 |
| Targeted enhancement of cortical-hippocampal brain networks and associative memory JX Wang, LM Rogers, EZ Gross, AJ Ryals, ME Dokucu, KL Brandstatt, ... Science 345 (6200), 1054-1057, 2014 | 551 | 2014 |
| Can language models learn from explanations in context? AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ... arXiv preprint arXiv:2204.02329, 2022 | 197 | 2022 |
| Data distributional properties drive emergent in-context learning in transformers S Chan, A Santoro, A Lampinen, J Wang, A Singh, P Richemond, ... Advances in Neural Information Processing Systems 35, 18878-18891, 2022 | 180 | 2022 |
| Deep reinforcement learning and its neuroscientific implications M Botvinick, JX Wang, W Dabney, KJ Miller, Z Kurth-Nelson Neuron 107 (4), 603-616, 2020 | 179 | 2020 |
| High-reproducibility and high-accuracy method for automated topic classification A Lancichinetti, MI Sirer, JX Wang, D Acuna, K Körding, LAN Amaral Physical Review X 5 (1), 011007, 2015 | 137 | 2015 |
| Meta-learning in natural and artificial intelligence JX Wang Current Opinion in Behavioral Sciences 38, 90-95, 2021 | 122 | 2021 |
| Causal reasoning from meta-reinforcement learning I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ... arXiv preprint arXiv:1901.08162, 2019 | 122 | 2019 |
| 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 | 97 | 2018 |
| Covert rapid action-memory simulation (CRAMS): A hypothesis of hippocampal–prefrontal interactions for adaptive behavior JX Wang, NJ Cohen, JL Voss Neurobiology of learning and memory 117, 22-33, 2015 | 94 | 2015 |
| Longlasting enhancements of memory and hippocampalcortical functional connectivity following multipleday targeted noninvasive stimulation JX Wang, JL Voss Hippocampus 25, 2015 | 89 | 2015 |
| Evolving intrinsic motivations for altruistic behavior JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ... arXiv preprint arXiv:1811.05931, 2018 | 86 | 2018 |
| Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019 | 85 | 2019 |
| Physiochemical microparticle sensors based on nonlinear magnetic oscillations BH McNaughton, RR Agayan, JX Wang, R Kopelman Sensors and Actuators B: Chemical 121 (1), 330-340, 2007 | 75 | 2007 |
| Optically transparent Au {111} substrates: Flat gold nanoparticle platforms for high-resolution scanning tunneling microscopy DH Dahanayaka, JX Wang, S Hossain, LA Bumm Journal of the American Chemical Society 128 (18), 6052-6053, 2006 | 65 | 2006 |
| Semantic exploration from language abstractions and pretrained representations A Tam, N Rabinowitz, A Lampinen, NA Roy, S Chan, DJ Strouse, J Wang, ... Advances in neural information processing systems 35, 25377-25389, 2022 | 56 | 2022 |
| Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents JX Wang, M King, N Porcel, Z Kurth-Nelson, T Zhu, C Deck, P Choy, ... Neural Information Processing Systems Track on Datasets and Benchmarks 2021, 2021 | 56* | 2021 |
| Hippocampal contribution to implicit configuration memory expressed via eye movements during scene exploration AJ Ryals, JX Wang, KL Polnaszek, JL Voss Hippocampus 25, 2015 | 56 | 2015 |
Matthew BotvinickGoogle DeepMind, Yale Law School, University College London在 google.com 的电子邮件经过验证
