Follow
Jonathan J Hunt
Jonathan J Hunt
Twitter
Verified email at me.net.nz - Homepage
Title
Cited by
Cited by
Year
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
162522015
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
7042015
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
6122017
Continuous control with deep reinforcement learning. arXiv 2015
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ...
arXiv preprint arXiv:1509.02971, 1935
5231935
Memory-based control with recurrent neural networks
N Heess, JJ Hunt, TP Lillicrap, D Silver
arXiv preprint arXiv:1512.04455, 2015
3742015
Diffusion policies as an expressive policy class for offline reinforcement learning
Z Wang, JJ Hunt, M Zhou
arXiv preprint arXiv:2208.06193, 2022
1992022
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
1822016
Continuous control with deep reinforcement learning
Y Bengio, TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, D Wierstra
Found. Trendsģ Mach. Learn 2, 1-127, 2009
1632009
The Option Keyboard: Combining Skills in Reinforcement Learning
A Barreto, D Borsa, S Hou, G Comanici, E AygŁn, P Hamel, D Toyama, ...
Advances in Neural Information Processing Systems, 13031-13041, 2019
962019
& 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
92
Spiking neuron classifier apparatus and methods using conditionally independent subsets
JJ Hunt, O Sinyavskiy
US Patent 9,195,934, 2015
542015
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
422013
Composing entropic policies using divergence correction
J Hunt, A Barreto, T Lillicrap, N Heess
International Conference on Machine Learning, 2911-2920, 2019
362019
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
322015
Statistical structure of lateral connections in the primary visual cortex
JJ Hunt, WH Bosking, GJ Goodhill
Neural systems & circuits 1, 1-12, 2011
302011
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
172012
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
172006
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
152021
Apparatus and methods for developing parallel networks using a general purpose programming language
JJ Hunt, O Sinyavskiy
US Patent 9,330,356, 2016
152016
Hyperbolic deep reinforcement learning
E Cetin, B Chamberlain, M Bronstein, JJ Hunt
arXiv preprint arXiv:2210.01542, 2022
132022
The system can't perform the operation now. Try again later.
Articles 1–20