Stable opponent shaping in differentiable games A Letcher, J Foerster, D Balduzzi, T Rocktäschel, S Whiteson International Conference on Learning Representations, 2019 | 121 | 2019 |
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 | 94 | 2019 |
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 | 56 | 2022 |
COLA: consistent learning with opponent-learning awareness T Willi, AH Letcher, J Treutlein, J Foerster International Conference on Machine Learning, 23804-23831, 2022 | 43 | 2022 |
On the impossibility of global convergence in multi-loss optimization A Letcher International Conference on Learning Representations, 2020 | 33 | 2020 |
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 | 28 | 2020 |
Adversarial cheap talk C Lu, T Willi, A Letcher, JN Foerster International Conference on Machine Learning, 22917-22941, 2023 | 19 | 2023 |
Tight and efficient gradient bounds for parameterized quantum circuits A Letcher, S Woerner, C Zoufal Machine Learning and Quantum Physics Workshop, 2023 | 16* | 2023 |
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 | 5 | 2018 |
Stability and Exploitation in Differentiable Games A Letcher Master’s thesis, University of Oxford., 2018 | 5 | 2018 |
Polymatrix Competitive Gradient Descent J Ma, A Letcher, F Schäfer, Y Shi, A Anandkumar arXiv preprint arXiv:2111.08565, 2021 | 1 | 2021 |
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 | | |