Gemp, Ian

24 publications

ICLR 2026 Code World Models for General Game Playing Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin Patrick Murphy

IJCAI 2025 Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman

ICML 2025 Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras

ICLR 2025 Re-Evaluating Open-Ended Evaluation of Large Language Models Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot

ICML 2025 Solving Zero-Sum Convex Markov Games Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras

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 NfgTransformer: Equivariant Representation Learning for Normal-Form Games Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess

ICMLW 2024 Steering Language Models with Game-Theoretic Solvers Ian Gemp, Roma Patel, Yoram Bachrach, Marc Lanctot, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls

AAAI 2023 AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) Kevin Du, Ian Gemp, Yi Wu, Yingying Wu

ICMLW 2023 Auto-Aligning Multiagent Incentives with Global Objectives Minae Kwon, John P Agapiou, Edgar A. Duéñez-Guzmán, Romuald Elie, Georgios Piliouras, Kalesha Bullard, Ian Gemp

NeurIPS 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel

ICLR 2023 The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium Ian Gemp, Charlie Chen, Brian McWilliams

ICLR 2022 EigenGame Unloaded: When Playing Games Is Better than Optimizing Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

ICLRW 2022 EigenGame Unloaded: When Playing Games Is Better than Optimizing Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

ICLRW 2022 Teamwork Reinforcement Learning with Concave Utilities Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp

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

IJCAI 2021 A Neural Network Auction for Group Decision Making over a Continuous Space Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel

ICLR 2021 EigenGame: PCA as a Nash Equilibrium Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

NeurIPS 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas Hudson, Nicolas Porcel, Marc Lanctot, Julien Perolat, Richard Everett, Satinder P. Singh, Thore Graepel, Yoram Bachrach

ICLRW 2019 Weakly Semi-Supervised Neural Topic Models Ian Gemp, Ramesh Nallapati, Ran Ding, Feng Nan, Bing Xiang

JAIR 2018 Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik

AAAI 2017 Automated Data Cleansing Through Meta-Learning Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh

ICLR 2017 Generative Multi-Adversarial Networks Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan