| Continuous control with deep reinforcement learning TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ... arXiv preprint arXiv:1509.02971, 2015 | 14179 | 2015 |
| Deep reinforcement learning in large discrete action spaces G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ... arXiv preprint arXiv:1512.07679, 2015 | 627 | 2015 |
| Successor features for transfer in reinforcement learning A Barreto, W Dabney, R Munos, JJ Hunt, T Schaul, HP van Hasselt, ... Advances in neural information processing systems 30, 2017 | 536 | 2017 |
| Memory-based control with recurrent neural networks N Heess, JJ Hunt, TP Lillicrap, D Silver arXiv preprint arXiv:1512.04455, 2015 | 338 | 2015 |
| Scaling memory-augmented neural networks with sparse reads and writes J Rae, JJ Hunt, I Danihelka, T Harley, AW Senior, G Wayne, A Graves, ... Advances in Neural Information Processing Systems 29, 2016 | 170 | 2016 |
| The Option Keyboard: Combining Skills in Reinforcement Learning A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, D Toyama, ... Advances in Neural Information Processing Systems, 13031-13041, 2019 | 83 | 2019 |
| Diffusion policies as an expressive policy class for offline reinforcement learning Z Wang, JJ Hunt, M Zhou arXiv preprint arXiv:2208.06193, 2022 | 80 | 2022 |
| & Wierstra, D.(2015). Continuous control with deep reinforcement learning TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa arXiv preprint arXiv:1509.02971, 0 | 80 | |
| Continuous control with deep reinforcement learning. CoRR abs/1509.02971 (2015) TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ... arXiv preprint arXiv:1509.02971, 2015 | 58 | 2015 |
| Spiking neuron classifier apparatus and methods using conditionally independent subsets JJ Hunt, O Sinyavskiy US Patent 9,195,934, 2015 | 52 | 2015 |
| Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input JJ Hunt, P Dayan, GJ Goodhill PLoS computational biology 9 (5), e1003005, 2013 | 40 | 2013 |
| Composing entropic policies using divergence correction J Hunt, A Barreto, T Lillicrap, N Heess International Conference on Machine Learning, 2911-2920, 2019 | 31 | 2019 |
| Statistical structure of lateral connections in the primary visual cortex JJ Hunt, WH Bosking, GJ Goodhill Neural systems & circuits 1 (1), 1-12, 2011 | 30 | 2011 |
| On the simulation of enzymatic digest patterns: The fragmentation of oligomeric and polymeric galacturonides by endo-polygalacturonase II JJ Hunt, R Cameron, MAK Williams Biochimica et Biophysica Acta (BBA)-General Subjects 1760 (11), 1696-1703, 2006 | 16 | 2006 |
| Sparse coding on the spot: Spontaneous retinal waves suffice for orientation selectivity JJ Hunt, M Ibbotson, GJ Goodhill Neural computation 24 (9), 2422-2433, 2012 | 15 | 2012 |
| RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline VW Anelli, S Kalloori, B Ferwerda, L Belli, A Tejani, F Portman, ... Proceedings of the 15th ACM Conference on Recommender Systems, 819-824, 2021 | 14 | 2021 |
| Apparatus and methods for developing parallel networks using a general purpose programming language JJ Hunt, O Sinyavskiy US Patent 9,330,356, 2016 | 13 | 2016 |
| Natural scene statistics and the structure of orientation maps in the visual cortex JJ Hunt, CE Giacomantonio, H Tang, D Mortimer, S Jaffer, V Vorobyov, ... NeuroImage 47 (1), 157-172, 2009 | 12 | 2009 |
| Continuous control with deep reinforcement learning TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ... US Patent 15 (217,758), 2020 | 11 | 2020 |
| The combinatorics of neurite self-avoidance EM Forbes, JJ Hunt, GJ Goodhill Neural computation 23 (11), 2746-2769, 2011 | 11 | 2011 |
Timothy P. LillicrapSenior Research Scientist, Google DeepMindVerified email at google.com
