| Backpropagation and the brain TP Lillicrap, A Santoro, L Marris, CJ Akerman, G Hinton Nature Reviews Neuroscience 21 (6), 335-346, 2020 | 1032 | 2020 |
| Human-level performance in 3D multiplayer games with population-based reinforcement learning M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ... Science 364 (6443), 859-865, 2019 | 901 | 2019 |
| Assessing the scalability of biologically-motivated deep learning algorithms and architectures S Bartunov, A Santoro, B Richards, L Marris, GE Hinton, T Lillicrap Advances in neural information processing systems 31, 2018 | 312 | 2018 |
| Human-level performance in first-person multiplayer games with population-based deep reinforcement learning M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ... arXiv preprint arXiv:1807.01281, 2018 | 177 | 2018 |
| From motor control to team play in simulated humanoid football S Liu, G Lever, Z Wang, J Merel, SMA Eslami, D Hennes, WM Czarnecki, ... Science Robotics 7 (69), eabo0235, 2022 | 128 | 2022 |
| A generalized training approach for multiagent learning P Muller, S Omidshafiei, M Rowland, K Tuyls, J Perolat, S Liu, D Hennes, ... arXiv preprint arXiv:1909.12823, 2019 | 120 | 2019 |
| Multi-agent training beyond zero-sum with correlated equilibrium meta-solvers L Marris, P Muller, M Lanctot, K Tuyls, T Graepel International Conference on Machine Learning, 7480-7491, 2021 | 46 | 2021 |
| NeuPL: Neural population learning S Liu, L Marris, D Hennes, J Merel, N Heess, T Graepel arXiv preprint arXiv:2202.07415, 2022 | 24 | 2022 |
| Turbocharging solution concepts: Solving NEs, CEs and CCEs with neural equilibrium solvers L Marris, I Gemp, T Anthony, A Tacchetti, S Liu, K Tuyls Advances in Neural Information Processing Systems 35, 5586-5600, 2022 | 20 | 2022 |
| Combining tree-search, generative models, and Nash bargaining concepts in game-theoretic reinforcement learning Z Li, M Lanctot, KR McKee, L Marris, I Gemp, D Hennes, P Muller, ... arXiv preprint arXiv:2302.00797, 2023 | 18 | 2023 |
| Simplex neural population learning: Any-mixture bayes-optimality in symmetric zero-sum games S Liu, M Lanctot, L Marris, N Heess International Conference on Machine Learning, 13793-13806, 2022 | 17 | 2022 |
| States as strings as strategies: Steering language models with game-theoretic solvers I Gemp, Y Bachrach, M Lanctot, R Patel, V Dasagi, L Marris, G Piliouras, ... arXiv preprint arXiv:2402.01704, 2024 | 16 | 2024 |
| Approximating nash equilibria in normal-form games via stochastic optimization I Gemp, L Marris, G Piliouras arXiv preprint arXiv:2310.06689, 2023 | 7 | 2023 |
| Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of Normal-Form Games L Marris, I Gemp, G Piliouras arXiv preprint arXiv:2304.09978, 2023 | 7 | 2023 |
| Generative adversarial equilibrium solvers D Goktas, DC Parkes, I Gemp, L Marris, G Piliouras, R Elie, G Lever, ... arXiv preprint arXiv:2302.06607, 2023 | 7 | 2023 |
| Nfgtransformer: Equivariant representation learning for normal-form games S Liu, L Marris, G Piliouras, I Gemp, N Heess arXiv preprint arXiv:2402.08393, 2024 | 6 | 2024 |
| Developing, evaluating and scaling learning agents in multi-agent environments I Gemp, T Anthony, Y Bachrach, A Bhoopchand, K Bullard, J Connor, ... AI Communications 35 (4), 271-284, 2022 | 5 | 2022 |
| Steering language models with game-theoretic solvers I Gemp, R Patel, Y Bachrach, M Lanctot, V Dasagi, L Marris, G Piliouras, ... Agentic Markets Workshop at ICML 2024, 2024 | 4 | 2024 |
| Neural population learning beyond symmetric zero-sum games S Liu, L Marris, M Lanctot, G Piliouras, JZ Leibo, N Heess arXiv preprint arXiv:2401.05133, 2024 | 3 | 2024 |
| Evaluating agents using social choice theory M Lanctot, K Larson, Y Bachrach, L Marris, Z Li, A Bhoopchand, ... arXiv preprint arXiv:2312.03121, 2023 | 3 | 2023 |
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLVerified email at ucl.ac.uk
