Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. - Sergey Bartunov; Adam Santoro; Blake A. Richards; Luke Marris; Geoffrey E. Hinton; Timothy P. Lillicrap (NeurIPS, 2018)

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. - Max Jaderberg; Wojciech M. Czarnecki; Iain Dunning; Luke Marris; Guy Lever; Antonio García Castañeda; Charles Beattie; Neil C. Rabinowitz; Ari S. Morcos; Avraham Ruderman; Nicolas Sonnerat; Tim Green; et al. (CoRR, 2018)

A Generalized Training Approach for Multiagent Learning. - Paul Muller; Shayegan Omidshafiei; Mark Rowland 001; Karl Tuyls; Julien Pérolat; Siqi Liu 002; Daniel Hennes; Luke Marris; Marc Lanctot; Edward Hughes 001; Zhe Wang 055; Guy Lever; et al. (ICLR, 2020)

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers. - Luke Marris; Paul Muller; Marc Lanctot; Karl Tuyls; Thore Graepel (ICML, 2021)

NeuPL: Neural Population Learning. - Siqi Liu 002; Luke Marris; Daniel Hennes; Josh Merel; Nicolas Heess; Thore Graepel (ICLR, 2022)

Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games. - Siqi Liu 002; Marc Lanctot; Luke Marris; Nicolas Heess (ICML, 2022)

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers. - Luke Marris; Ian Gemp; Thomas Anthony 001; Andrea Tacchetti; Siqi Liu 002; Karl Tuyls (NeurIPS, 2022)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Game Theoretic Rating in N-player general-sum games with Equilibria. - Luke Marris; Marc Lanctot; Ian Gemp; Shayegan Omidshafiei; Stephen McAleer; Jerome T. Connor; Karl Tuyls; Thore Graepel (CoRR, 2022)

From motor control to team play in simulated humanoid football. - Siqi Liu 002; Guy Lever; Zhe Wang 055; Josh Merel; S. M. Ali Eslami; Daniel Hennes; Wojciech M. Czarnecki; Yuval Tassa; Shayegan Omidshafiei; Abbas Abdolmaleki; Noah Y. Siegel; Leonard Hasenclever; et al. (Sci. Robotics, 2022)

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". - Siqi Liu 002; Guy Lever; Zhe Wang 055; Josh Merel; S. M. Ali Eslami; Daniel Hennes; Wojciech Czarnecki 001; Yuval Tassa; Shayegan Omidshafiei; Abbas Abdolmaleki; Noah Y. Siegel; Leonard Hasenclever; et al. (Zenodo, 2022)

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Kate Larson; Yoram Bachrach; Michael P. Wellman; Paul Muller (AAMAS, 2023)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Paul Muller; Kate Larson; Yoram Bachrach; Michael P. Wellman (CoRR, 2023)

Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games. - Luke Marris; Ian Gemp; Georgios Piliouras (CoRR, 2023)

Evaluating Agents using Social Choice Theory. - Marc Lanctot; Kate Larson; Yoram Bachrach; Luke Marris; Zun Li 002; Avishkar Bhoopchand; Thomas W. Anthony 001; Brian Tanner; Anna Koop (CoRR, 2023)

Approximating the Core via Iterative Coalition Sampling. - Ian Gemp; Marc Lanctot; Luke Marris; Yiran Mao; Edgar A. Duéñez-Guzmán; Sarah Perrin; András György 001; Romuald Elie; Georgios Piliouras; Michael Kaisers; Daniel Hennes; Kalesha Bullard; et al. (AAMAS, 2024)

Neural Population Learning beyond Symmetric Zero-Sum Games. - Siqi Liu 002; Luke Marris; Marc Lanctot; Georgios Piliouras; Joel Z. Leibo; Nicolas Heess (AAMAS, 2024)

NfgTransformer: Equivariant Representation Learning for Normal-form Games. - Siqi Liu 002; Luke Marris; Georgios Piliouras; Ian Gemp; Nicolas Heess (ICLR, 2024)

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization. - Ian Gemp; Luke Marris; Georgios Piliouras (ICLR, 2024)

Generative Adversarial Equilibrium Solvers. - Denizalp Goktas; David C. Parkes; Ian Gemp; Luke Marris; Georgios Piliouras; Romuald Elie; Guy Lever; Andrea Tacchetti (ICLR, 2024)

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. - Ian Gemp; Yoram Bachrach; Marc Lanctot; Roma Patel; Vibhavari Dasagi; Luke Marris; Georgios Piliouras; Siqi Liu 002; Karl Tuyls (CoRR, 2024)

Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package. - Luke Marris; Ian Gemp; Siqi Liu 002; Joel Z. Leibo; Georgios Piliouras (CoRR, 2024)

Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning. - Ian Gemp; Andreas Haupt; Luke Marris; Siqi Liu 002; Georgios Piliouras (CoRR, 2024)

Re-evaluating Open-ended Evaluation of Large Language Models. - Siqi Liu 002; Ian Gemp; Luke Marris; Georgios Piliouras; Nicolas Heess; Marc Lanctot (ICLR, 2025)

Deviation Ratings: A General, Clone-Invariant Rating Method. - Luke Marris; Siqi Liu 002; Ian Gemp; Georgios Piliouras; Marc Lanctot (CoRR, 2025)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)