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Luke Marris
Luke Marris
Research Engineer at DeepMind, PhD Candidate and University College London
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
9072019
Backpropagation and the brain
TP Lillicrap, A Santoro, L Marris, CJ Akerman, G Hinton
Nature Reviews Neuroscience 21 (6), 335-346, 2020
7422020
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
2602018
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
992022
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
992019
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
352021
Neupl: Neural population learning
S Liu, L Marris, D Hennes, J Merel, N Heess, T Graepel
arXiv preprint arXiv:2202.07415, 2022
192022
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
112023
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
102022
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
102022
Generative adversarial equilibrium solvers
D Goktas, DC Parkes, I Gemp, L Marris, G Piliouras, R Elie, G Lever, ...
arXiv preprint arXiv:2302.06607, 2023
62023
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of Normal-Form Games
L Marris, I Gemp, G Piliouras
arXiv preprint arXiv:2304.09978, 2023
52023
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
42022
Search-improved game-theoretic multiagent reinforcement learning in general and negotiation games
Z Li, M Lanctot, KR McKee, L Marris, I Gemp, D Hennes, K Larson, ...
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
32023
NfgTransformer: Equivariant Representation Learning for Normal-form Games
S Liu, L Marris, G Piliouras, I Gemp, N Heess
arXiv preprint arXiv:2402.08393, 2024
22024
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
22024
Game Theoretic Rating in N-player general-sum games with Equilibria
L Marris, M Lanctot, I Gemp, S Omidshafiei, S McAleer, J Connor, K Tuyls, ...
arXiv preprint arXiv:2210.02205, 2022
22022
Approximating Nash equilibria in normal-form games via stochastic optimization
I Gemp, L Marris, G Piliouras
arXiv preprint arXiv:2310.06689, 2023
12023
twoxtwogame Package Documentation
L Marris
2024
Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package
L Marris, I Gemp, S Liu, JZ Leibo, G Piliouras
arXiv preprint arXiv:2402.16985, 2024
2024
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Articles 1–20