Automatic Conflict Detection in Police Body-Worn Video. - Alistair Letcher; Jelena Trisovic; Collin Cademartori; Xi Chen; Jason Xu (CoRR, 2017)

Automatic Conflict Detection in Police Body-Worn Audio. - Alistair Letcher; Jelena Trisovic; Collin Cademartori; Xi Chen; Jason Xu (ICASSP, 2018)

Stable Opponent Shaping in Differentiable Games. - Alistair Letcher; Jakob N. Foerster; David Balduzzi; Tim Rocktäschel; Shimon Whiteson (ICLR (Poster), 2019)

Differentiable Game Mechanics. - Alistair Letcher; David Balduzzi; Sébastien Racanière; James Martens; Jakob N. Foerster; Karl Tuyls; Thore Graepel (J. Mach. Learn. Res., 2019)

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. - Jack Parker-Holder; Luke Metz; Cinjon Resnick; Hengyuan Hu; Adam Lerer; Alistair Letcher; Alexander Peysakhovich; Aldo Pacchiano; Jakob N. Foerster (NeurIPS, 2020)

On the Impossibility of Global Convergence in Multi-Loss Optimization. - Alistair Letcher (ICLR, 2021)

Polymatrix Competitive Gradient Descent. - Jeffrey Ma; Alistair Letcher; Florian Schäfer 001; Yuanyuan Shi; Anima Anandkumar (CoRR, 2021)

COLA: Consistent Learning with Opponent-Learning Awareness. - Timon Willi; Alistair Letcher; Johannes Treutlein; Jakob N. Foerster (ICML, 2022)

Discovered Policy Optimisation. - Chris Lu 001; Jakub Grudzien Kuba; Alistair Letcher; Luke Metz; Christian Schröder de Witt; Jakob N. Foerster (NeurIPS, 2022)

Adversarial Cheap Talk. - Chris Lu 001; Timon Willi; Alistair Letcher; Jakob Nicolaus Foerster (ICML, 2023)

Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits. - Alistair Letcher; Stefan Woerner; Christa Zoufal (Quantum, 2024)

An Optimisation Framework for Unsupervised Environment Design. - Nathan Monette; Alistair Letcher; Michael Beukman; Matthew Thomas Jackson; Alexander Rutherford; Alexander David Goldie; Jakob N. Foerster (CoRR, 2025)