Trajectory based lateral control: A Reinforcement Learning case study. - Asanka Wasala; Donal Byrne; Philip Miesbauer; Joseph O'Hanlon; Paul Heraty; Peter Barry (Eng. Appl. Artif. Intell., 2020)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Vincent Coyette; Paul Duckworth; Laurence I. Midgley; Tristan Kalloniatis; Sasha Abramowitz; Cemlyn N. Waters; Andries P. Smit; Nathan Grinsztajn; et al. (CoRR, 2023)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Sasha Abramowitz; Paul Duckworth; Vincent Coyette; Laurence Illing Midgley; Elshadai Tegegn; Tristan Kalloniatis; Omayma Mahjoub; Matthew Macfarlane; et al. (ICLR, 2024)

SPO: Sequential Monte Carlo Policy Optimisation. - Matthew Macfarlane; Edan Toledo; Donal Byrne; Paul Duckworth; Alexandre Laterre (NeurIPS, 2024)

SMX: Sequential Monte Carlo Planning for Expert Iteration. - Matthew V. Macfarlane; Edan Toledo; Donal Byrne; Siddarth Singh; Paul Duckworth; Alexandre Laterre (CoRR, 2024)

Bootstrap Your Own Teacher: Online Policy Distillation for Multi-Game Reinforcement Learning. - Donal Byrne; Marko Tot; Paul Duckworth; Clément Bonnet; Alexandre Laterre; Thomas D. Barrett (CoG, 2025)