Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. - Jelena Luketina; Tapani Raiko; Mathias Berglund; Klaus Greff (ICML, 2016)

On the Impossibility of Supersized Machines. - Ben Garfinkel; Miles Brundage; Daniel Filan; Carrick Flynn; Jelena Luketina; Michael Page; Anders Sandberg; Andrew Snyder-Beattie; Max Tegmark (CoRR, 2017)

Progress & Compress: A scalable framework for continual learning. - Jonathan Schwarz; Wojciech Czarnecki 001; Jelena Luketina; Agnieszka Grabska-Barwinska; Yee Whye Teh; Razvan Pascanu; Raia Hadsell (ICML, 2018)

A Survey of Reinforcement Learning Informed by Natural Language. - Jelena Luketina; Nantas Nardelli; Gregory Farquhar; Jakob N. Foerster; Jacob Andreas; Edward Grefenstette; Shimon Whiteson; Tim Rocktäschel (IJCAI, 2019)

The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning. - Maximilian Igl; Gregory Farquhar; Jelena Luketina; Wendelin Boehmer; Shimon Whiteson (CoRR, 2020)

WordCraft: An Environment for Benchmarking Commonsense Agents. - Minqi Jiang; Jelena Luketina; Nantas Nardelli; Pasquale Minervini; Philip H. S. Torr; Shimon Whiteson; Tim Rocktäschel (CoRR, 2020)

Transient Non-stationarity and Generalisation in Deep Reinforcement Learning. - Maximilian Igl; Gregory Farquhar; Jelena Luketina; Wendelin Boehmer; Shimon Whiteson (ICLR, 2021)

Meta-Gradients in Non-Stationary Environments. - Jelena Luketina; Sebastian Flennerhag; Yannick Schroecker; David Abel; Tom Zahavy; Satinder Singh 001 (CoLLAs, 2022)

Learning Skills Diverse in Value-Relevant Features. - Matthew J. A. Smith; Jelena Luketina; Kristian Hartikainen; Maximilian Igl; Shimon Whiteson (CoLLAs, 2022)

Compositional Interfaces for Compositional Generalization. - Jelena Luketina; Jack Lanchantin; Sainbayar Sukhbaatar; Arthur Szlam (CoLLAs, 2024)

Understanding the Effects of RLHF on LLM Generalisation and Diversity. - Robert Kirk; Ishita Mediratta; Christoforos Nalmpantis; Jelena Luketina; Eric Hambro; Edward Grefenstette; Roberta Raileanu (ICLR, 2024)