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ORCIDJonathan J. Hunt
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2020 – today
- 2023
[c10]Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt:
Hyperbolic Deep Reinforcement Learning. ICLR 2023- [c9]Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR 2023 - 2022
- [i12]Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt:
Learning to Rank For Push Notifications Using Pairwise Expected Regret. CoRR abs/2201.07681 (2022) - [i11]Conor O'Brien, Arvind Thiagarajan, Sourav Das, Rafael Barreto, Chetan Verma, Tim Hsu, James Neufeld, Jonathan J. Hunt:
Challenges and approaches to privacy preserving post-click conversion prediction. CoRR abs/2201.12666 (2022) - [i10]Conor O'Brien, Huasen Wu, Shaodan Zhai, Dalin Guo, Wenzhe Shi, Jonathan J. Hunt:
Should I send this notification? Optimizing push notifications decision making by modeling the future. CoRR abs/2202.08812 (2022) - [i9]Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR abs/2208.06193 (2022) - [i8]Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt:
Hyperbolic Deep Reinforcement Learning. CoRR abs/2210.01542 (2022) - 2021
- [c8]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge 2021: 1-6 - [c7]Conor O'Brien, Kin Sum Liu, James Neufeld, Rafael Barreto, Jonathan J. Hunt:
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction. RecSys 2021: 613-619 - [c6]Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi:
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. RecSys 2021: 819-824 - [i7]André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup:
The Option Keyboard: Combining Skills in Reinforcement Learning. CoRR abs/2106.13105 (2021) - [i6]Conor O'Brien, Kin Sum Liu, James Neufeld, Rafael Barreto, Jonathan J. Hunt:
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction. CoRR abs/2108.13475 (2021) - [i5]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR abs/2109.08245 (2021) - 2020
- [i4]Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess:
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR abs/2009.05524 (2020)
2010 – 2019
- 2019
- [c5]Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess:
Composing Entropic Policies using Divergence Correction. ICML 2019: 2911-2920 - [c4]André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup:
The Option Keyboard: Combining Skills in Reinforcement Learning. NeurIPS 2019: 13031-13041 - 2018
- [i3]Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess:
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. CoRR abs/1812.02216 (2018) - 2017
- [c3]André Barreto, Will Dabney, Rémi Munos, Jonathan J. Hunt, Tom Schaul, David Silver, Hado van Hasselt:
Successor Features for Transfer in Reinforcement Learning. NIPS 2017: 4055-4065 - 2016
- [c2]Jack W. Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Tim Lillicrap:
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. NIPS 2016: 3621-3629 - [c1]Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra:
Continuous control with deep reinforcement learning. ICLR (Poster) 2016 - [i2]Jack W. Rae, Jonathan J. Hunt, Tim Harley, Ivo Danihelka, Andrew W. Senior, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. CoRR abs/1610.09027 (2016) - 2015
- [i1]Nicolas Heess, Jonathan J. Hunt, Timothy P. Lillicrap, David Silver:
Memory-based control with recurrent neural networks. CoRR abs/1512.04455 (2015) - 2014
- [j5]Nicholas J. Hughes, Jonathan J. Hunt, Shaun L. Cloherty, Michael R. Ibbotson, Frank Sengpiel, Geoffrey J. Goodhill:
Stripe-rearing changes multiple aspects of the structure of primary visual cortex. NeuroImage 95: 305-319 (2014) - 2013
- [j4]Jonathan J. Hunt, Peter Dayan, Geoffrey J. Goodhill:
Sparse Coding Can Predict Primary Visual Cortex Receptive Field Changes Induced by Abnormal Visual Input. PLoS Comput. Biol. 9(5) (2013) - 2012
- [j3]Jonathan J. Hunt, Michael R. Ibbotson, Geoffrey J. Goodhill:
Sparse Coding on the Spot: Spontaneous Retinal Waves Suffice for Orientation Selectivity. Neural Comput. 24(9): 2422-2433 (2012) - 2011
- [j2]Elizabeth M. Forbes, Jonathan J. Hunt, Geoffrey J. Goodhill:
The Combinatorics of Neurite Self-Avoidance. Neural Comput. 23(11): 2746-2769 (2011)
2000 – 2009
- 2009
- [j1]Jonathan J. Hunt, Clare E. Giacomantonio, Huajin Tang, Duncan Mortimer, Sajjida Jaffer, Vasily Vorobyov, Geoffery Ericksson, Frank Sengpiel, Geoffrey J. Goodhill:
Natural scene statistics and the structure of orientation maps in the visual cortex. NeuroImage 47(1): 157-172 (2009)
Coauthor Index
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