| 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 | 965 | 2018 |
| 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 | 320 | 2019 |
| Scalable gradient-based tuning of continuous regularization hyperparameters J Luketina, M Berglund, K Greff, T Raiko International conference on machine learning, 2952-2960, 2016 | 205 | 2016 |
| Transient non-stationarity and generalisation in deep reinforcement learning M Igl, G Farquhar, J Luketina, W Boehmer, S Whiteson arXiv preprint arXiv:2006.05826, 2020 | 92 | 2020 |
| Understanding the effects of rlhf on llm generalisation and diversity R Kirk, I Mediratta, C Nalmpantis, J Luketina, E Hambro, E Grefenstette, ... arXiv preprint arXiv:2310.06452, 2023 | 68 | 2023 |
| The impact of non-stationarity on generalisation in deep reinforcement learning M Igl, G Farquhar, J Luketina, W Boehmer, S Whiteson arXiv preprint arXiv:2006.05826 8, 2020 | 37 | 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 | 20 | 2020 |
| Meta-gradients in non-stationary environments J Luketina, S Flennerhag, Y Schroecker, D Abel, T Zahavy, S Singh Conference on Lifelong Learning Agents, 886-901, 2022 | 10 | 2022 |
| On the impossibility of supersized machines B Garfinkel, M Brundage, D Filan, C Flynn, J Luketina, M Page, ... arXiv preprint arXiv:1703.10987, 2017 | 6 | 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 | 3 | 2021 |
| Learning Skills Diverse in Value-Relevant Features MJA Smith, J Luketina, K Hartikainen, M Igl, S Whiteson Conference on Lifelong Learning Agents, 1174-1194, 2022 | 2 | 2022 |
| Compositional Interfaces for Compositional Generalization J Luketina, J Lanchantin, S Sukhbaatar, A Szlam | 1 | |
| 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. 18/674,367, 2024 | | 2024 |
| Transfer in sequential decision making J Luketina University of Oxford, 2023 | | 2023 |
