Jelena Luketina

According to our database, Jelena Luketina authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Compositional Interfaces for Compositional Generalization.

Jelena Luketina, Jack Lanchantin, Sainbayar Sukhbaatar, Arthur Szlam

Proceedings of the Conference on Lifelong Learning Agents, 2024

2022

Learning Skills Diverse in Value-Relevant Features.

Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson

Proceedings of the Conference on Lifelong Learning Agents, 2022

Meta-Gradients in Non-Stationary Environments.

Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Transient Non-stationarity and Generalisation in Deep Reinforcement Learning.

Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson

Proceedings of the 9th International Conference on Learning Representations, 2021

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

The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning.

Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson

CoRR, 2020

2019

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

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Progress & Compress: A scalable framework for continual learning.

Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

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

2016

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters.

Jelena Luketina, Tapani Raiko, Mathias Berglund, Klaus Greff

Proceedings of the 33nd International Conference on Machine Learning, 2016