Jonathan J. Hunt

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 18

Top Topics

Primary Visual Cortex

Learning To Rank

Reinforcement Learning

Top Venues

Publications

Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt
Hyperbolic Deep Reinforcement Learning. ICLR (2023)
Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR (2023)
Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR (2022)
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 (2022)
Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt
Hyperbolic Deep Reinforcement Learning. CoRR (2022)
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 (2022)
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 (2022)
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 (2021)
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 (2021)
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)
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 (2020)
Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess
Composing Entropic Policies using Divergence Correction. ICML (2019)
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)
Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. CoRR (2018)
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)
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)
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 (2016)
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)
Nicolas Heess, Jonathan J. Hunt, Timothy P. Lillicrap, David Silver
Memory-based control with recurrent neural networks. CoRR (2015)
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 (2014)
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)
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) (2012)
Elizabeth M. Forbes, Jonathan J. Hunt, Geoffrey J. Goodhill
The Combinatorics of Neurite Self-Avoidance. Neural Comput. 23 (11) (2011)
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) (2009)