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Isaac Tamblyn

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Scientific intuition inspired by machine learning generated hypotheses

Oct 27, 2020
Pascal Friederich, Mario Krenn, Isaac Tamblyn, Alan Aspuru-Guzik

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Correspondence between neuroevolution and gradient descent

Aug 15, 2020
Stephen Whitelam, Viktor Selin, Sang-Won Park, Isaac Tamblyn

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Active Measure Reinforcement Learning for Observation Cost Minimization

May 26, 2020
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn

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Reinforcement Learning in a Physics-Inspired Semi-Markov Environment

Apr 15, 2020
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn

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Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principles

Mar 03, 2020
Kyle Sprague, Juan Carrasquilla, Steve Whitelam, Isaac Tamblyn

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Learning to grow: control of materials self-assembly using evolutionary reinforcement learning

Feb 08, 2020
Stephen Whitelam, Isaac Tamblyn

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Evolutionary reinforcement learning of dynamical large deviations

Sep 10, 2019
Stephen Whitelam, Daniel Jacobson, Isaac Tamblyn

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Optimizing thermodynamic trajectories using evolutionary reinforcement learning

Mar 20, 2019
Chris Beeler, Uladzimir Yahorau, Rory Coles, Kyle Mills, Stephen Whitelam, Isaac Tamblyn

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