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Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires


Dec 02, 2022
Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert

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A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models


Jun 22, 2022
Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson

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An Emulation Framework for Fire Front Spread


Mar 23, 2022
Andrew Bolt, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert

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* Machine Learning and the Physical Sciences Workshop, NeurIPS, 2021 

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Using Unity to Help Solve Intelligence


Nov 18, 2020
Tom Ward, Andrew Bolt, Nik Hemmings, Simon Carter, Manuel Sanchez, Ricardo Barreira, Seb Noury, Keith Anderson, Jay Lemmon, Jonathan Coe, Piotr Trochim, Tom Handley, Adrian Bolton

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Learned human-agent decision-making, communication and joint action in a virtual reality environment


May 07, 2019
Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker

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* 5 pages, 3 figures. Accepted to The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, July 7-10, 2019, McGill University, Montreal, Quebec, Canada 

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