Follow
Alistair Letcher
Alistair Letcher
University of Oxford
Verified email at maths.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Stable opponent shaping in differentiable games
A Letcher, J Foerster, D Balduzzi, T Rocktäschel, S Whiteson
International Conference on Learning Representations, 2019
1292019
Differentiable game mechanics
A Letcher, D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, ...
Journal of Machine Learning Research 20 (84), 1-40, 2019
1002019
Discovered policy optimisation
C Lu, J Kuba, A Letcher, L Metz, C Schroeder de Witt, J Foerster
Advances in Neural Information Processing Systems 35, 16455-16468, 2022
792022
COLA: consistent learning with opponent-learning awareness
T Willi, AH Letcher, J Treutlein, J Foerster
International Conference on Machine Learning, 23804-23831, 2022
552022
On the impossibility of global convergence in multi-loss optimization
A Letcher
International Conference on Learning Representations, 2020
342020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
J Parker-Holder, L Metz, C Resnick, H Hu, A Lerer, A Letcher, ...
Advances in Neural Information Processing Systems 33, 2020
322020
Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
A Letcher, S Woerner, C Zoufal
Quantum 8, 1484, 2024
24*2024
Adversarial cheap talk
C Lu, T Willi, A Letcher, JN Foerster
International Conference on Machine Learning, 22917-22941, 2023
222023
Stability and Exploitation in Differentiable Games
A Letcher
Master’s thesis, University of Oxford., 2018
62018
Automatic Conflict Detection in Police Body-Worn Audio
A Letcher, J Trišović, C Cademartori, X Chen, J Xu
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
52018
Polymatrix Competitive Gradient Descent
J Ma, A Letcher, F Schäfer, Y Shi, A Anandkumar
arXiv preprint arXiv:2111.08565, 2021
12021
Higher Order and Self-Referential Evolution for Population-based Methods
S Coward, C Lu, A Letcher, M Jiang, J Parker-Holder, JN Foerster
Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs, 0
The system can't perform the operation now. Try again later.
Articles 1–12