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Active Reinforcement Learning: Observing Rewards at a Cost

Nov 24, 2020
David Krueger, Jan Leike, Owain Evans, John Salvatier

* Originally appeared at the NeurIPS 2016 "Future of Interactive Learning Machines (FILM)" workshop 

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Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art

Nov 16, 2019
Owain Evans

* 27 pages. Web version with high-resolution images: https://owainevans.github.io/visual_aesthetics/sensory-optimization.html 

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Generalizing from a few environments in safety-critical reinforcement learning

Jul 02, 2019
Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal


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When Will AI Exceed Human Performance? Evidence from AI Experts

May 03, 2018
Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans

* Accepted by Journal of Artificial Intelligence Research (AI and Society Track). Minor update to refer to related work (page 5) 

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Active Reinforcement Learning with Monte-Carlo Tree Search

Mar 26, 2018
Sebastian Schulze, Owain Evans

* 11 pages, 10 figures 

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The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Feb 20, 2018
Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei


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Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

Jul 17, 2017
William Saunders, Girish Sastry, Andreas Stuhlmueller, Owain Evans


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Agent-Agnostic Human-in-the-Loop Reinforcement Learning

Jan 15, 2017
David Abel, John Salvatier, Andreas Stuhlmüller, Owain Evans

* Presented at the NIPS Workshop on the Future of Interactive Learning Machines, 2016 

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Learning the Preferences of Ignorant, Inconsistent Agents

Dec 18, 2015
Owain Evans, Andreas Stuhlmueller, Noah D. Goodman

* AAAI 2016 

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