Jelena Luketina
Jelena Luketina
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Progress & compress: A scalable framework for continual learning
J Schwarz, W Czarnecki, J Luketina, A Grabska-Barwinska, YW Teh, ...
International Conference on Machine Learning, 4528-4537, 2018
Scalable gradient-based tuning of continuous regularization hyperparameters
J Luketina, M Berglund, K Greff, T Raiko
International conference on machine learning, 2952-2960, 2016
A survey of reinforcement learning informed by natural language
J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ...
arXiv preprint arXiv:1906.03926, 2019
The impact of non-stationarity on generalisation in deep reinforcement learning
M Igl, G Farquhar, J Luketina, W Boehmer, S Whiteson
arXiv e-prints, arXiv: 2006.05826, 2020
WordCraft: An Environment for Benchmarking Commonsense Agents
M Jiang, J Luketina, N Nardelli, P Minervini, PHS Torr, S Whiteson, ...
arXiv preprint arXiv:2007.09185, 2020
Transient non-stationarity and generalisation in deep reinforcement learning
M Igl, G Farquhar, J Luketina, W Böhmer, S Whiteson
arXiv preprint arXiv:2006.05826, 2020
On the impossibility of supersized machines
B Garfinkel, M Brundage, D Filan, C Flynn, J Luketina, M Page, ...
arXiv preprint arXiv:1703.10987, 2017
Neural networks for scalable continual learning in domains with sequentially learned tasks
J Schwarz, R Pascanu, RT Hadsell, W Czarnecki, YW Teh, J Luketina
US Patent App. 17/048,023, 2021
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