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·
Research Scientist
,
AI Safety Institute
2024–
·
PhD Student
,
University of Oxford
2018–
Publications
(14)
Progress & Compress: A scalable framework for continual learning
International Conference on Machine Learning · 2018
976
cited
A Survey of Reinforcement Learning Informed by Natural Language
International Joint Conference on Artificial Intelligence · 2019
304
cited
Understanding the Effects of RLHF on LLM Generalisation and Diversity
International Conference on Learning Representations · 2023
281
cited
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
International Conference on Machine Learning · 2015
180
cited
Transient Non-stationarity and Generalisation in Deep Reinforcement Learning
International Conference on Learning Representations · 2020
98
cited
Hyperparameter Optimization for Machine Learning
2016
50
cited
The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning
arXiv.org · 2020
35
cited
WordCraft: An Environment for Benchmarking Commonsense Agents
arXiv.org · 2020
25
cited
Meta-Gradients in Non-Stationary Environments
CoLLAs · 2022
12
cited
33rd International Conference on Machine Learning, ICML 2016
International Conference on Machine Learning · 2016
10
cited
On the Impossibility of Supersized Machines
arXiv.org · 2017
4
cited
Learning Skills Diverse in Value-Relevant Features
CoLLAs · 2022
2
cited
CONTINUOUS REGULARIZATION HYPERPARAMETERS
2016
1
cited
M ETA -G RADIENTS IN N ON -S TATIONARY E NVIRONMENTS
2022
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Jelena Luketina | Researcher Profile | Sotabase | Sotabase