Aslanides, John

6 publications

NeurIPS 2022 Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield

AAAI 2020 A General Approach to Fairness with Optimal Transport Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides

ICLR 2020 Behaviour Suite for Reinforcement Learning Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, Hado Van Hasselt

NeurIPS 2019 When to Use Parametric Models in Reinforcement Learning? Hado P van Hasselt, Matteo Hessel, John Aslanides

NeurIPS 2018 Randomized Prior Functions for Deep Reinforcement Learning Ian Osband, John Aslanides, Albin Cassirer

IJCAI 2017 Universal Reinforcement Learning Algorithms: Survey and Experiments John Aslanides, Jan Leike, Marcus Hutter