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Thomas McGrath
Thomas McGrath
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Biochemical machines for the interconversion of mutual information and work
T McGrath, NS Jones, PR Ten Wolde, TE Ouldridge
Physical review letters 118 (2), 028101, 2017
522017
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
452019
Algorithms for causal reasoning in probability trees
T Genewein, T McGrath, G Déletang, V Mikulik, M Martic, S Legg, ...
arXiv preprint arXiv:2010.12237, 2020
102020
Meta-trained agents implement bayes-optimal agents
V Mikulik, G Delétang, T McGrath, T Genewein, M Martic, S Legg, ...
Advances in neural information processing systems 33, 18691-18703, 2020
102020
Predicting human deliberative judgments with machine learning
O Evans, A Stuhlmüller, C Cundy, R Carey, Z Kenton, T McGrath, ...
Technical report, Technical report, 2018
102018
Acquisition of chess knowledge in alphazero
T McGrath, A Kapishnikov, N Tomašev, A Pearce, D Hassabis, B Kim, ...
arXiv preprint arXiv:2111.09259, 2021
82021
Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction
T McGrath, KG Murphy, NS Jones
Journal of The Royal Society Interface 15 (138), 20170736, 2018
72018
Causal analysis of agent behavior for ai safety
G Déletang, J Grau-Moya, M Martic, T Genewein, T McGrath, V Mikulik, ...
arXiv preprint arXiv:2103.03938, 2021
42021
The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents
TM McGrath, E Spreckley, AF Rodriguez, C Viscomi, A Alamshah, ...
PLoS biology 17 (12), e3000482, 2019
32019
Publisher’s Note: Biochemical Machines for the Interconversion of Mutual Information and Work [Phys. Rev. Lett. 118, 028101 (2017)]
T McGrath, NS Jones, PR Ten Wolde, TE Ouldridge
Physical Review Letters 118 (4), 049902, 2017
22017
Entropy generation during computation-is it really avoidable, even in principle?
T Ouldridge, R Brittain, N Jones, T McGrath
Bulletin of the American Physical Society, 2022
2022
Energetics, Information, and self-regulation
TM McGrath
Imperial College London, 2019
2019
Interpreting, forecasting, and controlling feeding behaviour using high-resolution data
TM McGrath, E Spreckley, AF Rodriguez, C Viscomi, A Alamshah, ...
bioRxiv, 578344, 2019
2019
The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents-Supplementary Material
TM McGrath, E Spreckley, AF Rodriguez, C Viscomi, A Alamshah, ...
Meta-learning of Sequential Strategies Meta-learning of Sequential Strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
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