Jonathan J. Hunt

According to our database, Jonathan J. Hunt authored at least 21 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hyperbolic Deep Reinforcement Learning.

Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Should I send this notification? Optimizing push notifications decision making by modeling the future.

Conor O'Brien, Huasen Wu, Shaodan Zhai, Dalin Guo, Wenzhe Shi, Jonathan J. Hunt

CoRR, 2022

Challenges and approaches to privacy preserving post-click conversion prediction.

Conor O'Brien, Arvind Thiagarajan, Sourav Das, Rafael Barreto, Chetan Verma, Tim Hsu, James Neufeld, Jonathan J. Hunt

CoRR, 2022

Learning to Rank For Push Notifications Using Pairwise Expected Regret.

Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt

CoRR, 2022

2021

An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction.

Conor O'Brien, Kin Sum Liu, James Neufeld, Rafael Barreto, Jonathan J. Hunt

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

The 2021 RecSys Challenge Dataset: Fairness is not optional.

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

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline.

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

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.

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

CoRR, 2020

2019

The Option Keyboard: Combining Skills in Reinforcement Learning.

André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Composing Entropic Policies using Divergence Correction.

Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction.

Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess

CoRR, 2018

2017

Successor Features for Transfer in Reinforcement Learning.

André Barreto, Will Dabney, Rémi Munos, Jonathan J. Hunt, Tom Schaul, David Silver, Hado van Hasselt

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Continuous control with deep reinforcement learning.

Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra

Proceedings of the 4th International Conference on Learning Representations, 2016

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes.

Jack W. Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Tim Lillicrap

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Memory-based control with recurrent neural networks.

Nicolas Heess, Jonathan J. Hunt, Timothy P. Lillicrap, David Silver

CoRR, 2015

2014

Stripe-rearing changes multiple aspects of the structure of primary visual cortex.

Nicholas J. Hughes, Jonathan J. Hunt, Shaun L. Cloherty, Michael R. Ibbotson, Frank Sengpiel, Geoffrey J. Goodhill

NeuroImage, 2014

2013

Sparse Coding Can Predict Primary Visual Cortex Receptive Field Changes Induced by Abnormal Visual Input.

Jonathan J. Hunt, Peter Dayan, Geoffrey J. Goodhill

PLoS Comput. Biol., 2013

2012

Sparse Coding on the Spot: Spontaneous Retinal Waves Suffice for Orientation Selectivity.

Jonathan J. Hunt, Michael R. Ibbotson, Geoffrey J. Goodhill

Neural Comput., 2012

2011

The Combinatorics of Neurite Self-Avoidance.

Elizabeth M. Forbes, Jonathan J. Hunt, Geoffrey J. Goodhill

Neural Comput., 2011

2009

Natural scene statistics and the structure of orientation maps in the visual cortex.

Jonathan J. Hunt, Clare E. Giacomantonio, Huajin Tang, Duncan Mortimer, Sajjida Jaffer, Vasily Vorobyov, Geoffery Ericksson, Frank Sengpiel, Geoffrey J. Goodhill

NeuroImage, 2009