Jonathan J. Hunt

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learn continuous control with deep bestärkendem

Yuval Tassa, David Silver, Nicolas Heess, 2016 .

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

Huajin Tang, Jonathan J. Hunt, Clare E. Giacomantonio, 2009, NeuroImage.

Composing Entropic Policies using Divergence Correction

Nicolas Heess, Jonathan J. Hunt, Timothy Lillicrap, 2018, ICML.

Continuous control with deep reinforcement learning pdf

Yuval Tassa, David Silver, Daan Wierstra, 2015, ICLR.

Memory-based control with recurrent neural networks pdf

David Silver, Nicolas Heess, Jonathan J. Hunt, 2015, ArXiv.

The Option Keyboard: Combining Skills in Reinforcement Learning

Doina Precup, Shaobo Hou, Gheorghe Comanici, 2021, NeurIPS.

Randomly oriented edge arrangements dominate naturalistic arrangements in binocular rivalry

Jason B. Mattingley, Jonathan J. Hunt, Geoffrey J. Goodhill, 2012, Vision Research.

Successor Features for Transfer in Reinforcement Learning

Tom Schaul, David Silver, Jonathan J. Hunt, 2016, NIPS.

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning pdf

Andrew Jaegle, Jonathan J. Hunt, Nicolas Heess, 2020, ArXiv.

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

Michael R. Ibbotson, Jonathan J. Hunt, Geoffrey J. Goodhill, 2012, Neural Computation.

The Combinatorics of Neurite Self-Avoidance

Jonathan J. Hunt, Geoffrey J. Goodhill, Elizabeth M. Forbes, 2011, Neural Computation.

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

Michael R. Ibbotson, Jonathan J. Hunt, Geoffrey J. Goodhill, 2014, NeuroImage.

Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction pdf

Nicolas Heess, Jonathan J. Hunt, Timothy P. Lillicrap, 2018, ArXiv.

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

Peter Dayan, Jonathan J. Hunt, Geoffrey J. Goodhill, 2013, PLoS Comput. Biol..

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes

Alex Graves, Jonathan J. Hunt, Ivo Danihelka, 2016, NIPS.

Natural scene statistics and the development of the primary visual cortex

Jonathan J. Hunt, 2011 .

6th Australian Workshop on Computational Neuroscience

Jonathan J. Hunt, F. Sengpiel, G. Goodhill, 2013 .

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Jonathan J. Hunt, Mingyuan Zhou, Zhendong Wang, 2022, ArXiv.

Hyperbolic Deep Reinforcement Learning

Jonathan J. Hunt, B. Chamberlain, Michael Bronstein, 2022, ICLR.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Jonathan J. Hunt, Mingyuan Zhou, Zhendong Wang, 2022, ICLR.

Deep Reinforcement Learning in Large Discrete Action Spaces

Richard Evans, Peter Sunehag, Timothy A. Mann, 2015, 1512.07679.

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

Jonathan J. Hunt, Kin Sum Liu, Jonathan J Hunt, 2021, RecSys.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Jonathan J. Hunt, Mingyuan Zhou, Zhendong Wang, 2022, ICLR.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Jonathan J. Hunt, Mingyuan Zhou, Zhendong Wang, 2022, ICLR.

Statistical structure of lateral connections in the primary visual cortex

Jonathan J. Hunt, Geoffrey J Goodhill, Jonathan J Hunt, 2011, Neural systems & circuits.