Ian Gemp

72 papers A* 17A 7C 1Journal 42Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms.
CoRR
Marc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers
2026 J jnl
Chaos in Autobidding Auctions.
CoRR
Ioannis Anagnostides, Ian Gemp, Georgios Piliouras, Kelly Spendlove
2026 J jnl
Tight Inapproximability for Welfare-Maximizing Autobidding Equilibria.
CoRR
Ioannis Anagnostides, Ian Gemp, Georgios Piliouras, Kelly Spendlove
2025 J jnl
Code World Models for General Game Playing.
CoRR
Wolfgang Lehrach, Daniel Hennes, Miguel Lázaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Jordi Grau-Moya, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin P. Murphy
2025 A* conf
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling.
IJCAI
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2025 A* conf
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning.
ICML
Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras
2025 J jnl
Deviation Ratings: A General, Clone-Invariant Rating Method.
CoRR
Luke Marris, Siqi Liu, Ian Gemp, Georgios Piliouras, Marc Lanctot
2025 A conf
Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models.
AAMAS
Benjamin Kempinski, Ian Gemp, Kate Larson, Marc Lanctot, Yoram Bachrach, Tal Kachman
2025 J jnl
LLM-Mediated Guidance of MARL Systems.
CoRR
Philipp Dominic Siedler, Ian Gemp
2025 A* conf
Re-evaluating Open-ended Evaluation of Large Language Models.
ICLR
Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot
2025 J jnl
Re-evaluating Open-ended Evaluation of Large Language Models.
CoRR
Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot
2025 A conf
Soft Condorcet Optimization for Ranking of General Agents.
AAMAS
Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2025 A* conf
Solving Zero-Sum Convex Markov Games.
ICML
Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras
2025 J jnl
Solving Zero-Sum Convex Markov Games.
CoRR
Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras
2024 A* conf
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization.
ICLR
Ian Gemp, Luke Marris, Georgios Piliouras
2024 A conf
Approximating the Core via Iterative Coalition Sampling.
AAMAS
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Approximating the Core via Iterative Coalition Sampling.
CoRR
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Charting the Shapes of Stories with Game Theory.
CoRR
Constantinos Daskalakis, Ian Gemp, Yanchen Jiang, Renato Paes Leme, Christos H. Papadimitriou, Georgios Piliouras
2024 J jnl
Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning.
CoRR
Ian Gemp, Andreas A. Haupt, Luke Marris, Siqi Liu, Georgios Piliouras
2024 A* conf
Generative Adversarial Equilibrium Solvers.
ICLR
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
2024 J jnl
Nash Equilibria via Stochastic Eigendecomposition.
CoRR
Ian Gemp
2024 A* conf
NfgTransformer: Equivariant Representation Learning for Normal-form Games.
ICLR
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
2024 J jnl
NfgTransformer: Equivariant Representation Learning for Normal-form Games.
CoRR
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
2024 J jnl
Soft Condorcet Optimization for Ranking of General Agents.
CoRR
Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2024 J jnl
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers.
CoRR
Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
2024 J jnl
Teamwork Reinforcement Learning With Concave Utilities.
IEEE Trans. Mob. Comput.
Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp
2024 J jnl
Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package.
CoRR
Luke Marris, Ian Gemp, Siqi Liu, Joel Z. Leibo, Georgios Piliouras
2023 A* conf
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract).
AAAI
Kevin Du, Ian Gemp, Yi Wu, Yingying Wu
2023 J jnl
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization.
CoRR
Ian Gemp, Luke Marris, Georgios Piliouras
2023 J jnl
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning.
CoRR
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023 J jnl
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games.
CoRR
Luke Marris, Ian Gemp, Georgios Piliouras
2023 A* conf
Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples.
NeurIPS
Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
2023 J jnl
Generative Adversarial Equilibrium Solvers.
CoRR
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
2023 A conf
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games.
AAMAS
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
2023 A* conf
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium.
ICLR
Ian Gemp, Charlie Chen, Brian McWilliams
2022 J jnl
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process.
CoRR
Kevin Du, Ian Gemp, Yi Wu, Yingying Wu
2022 A conf
D3C: Reducing the Price of Anarchy in Multi-Agent Learning.
AAMAS
Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
2022 J jnl
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.
CoRR
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 J jnl
Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun.
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 A* conf
EigenGame Unloaded: When playing games is better than optimizing.
ICLR
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2022 J jnl
Game Theoretic Rating in N-player general-sum games with Equilibria.
CoRR
Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
2022 A conf
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.
AAMAS
Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
2022 — conf
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering.
TAG-ML
Elise van der Pol, Ian Gemp, Yoram Bachrach
2022 J jnl
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering.
CoRR
Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett
2022 J jnl
The Generalized Eigenvalue Problem as a Nash Equilibrium.
CoRR
Ian Gemp, Charlie Chen, Brian McWilliams
2022 A* conf
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers.
NeurIPS
Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
2022 J jnl
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers.
CoRR
Luke Marris, Ian Gemp, Thomas W. Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
2021 A* conf
A Neural Network Auction For Group Decision Making Over a Continuous Space.
IJCAI
Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
2021 J jnl
EigenGame Unloaded: When playing games is better than optimizing.
CoRR
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2021 A* conf
EigenGame: PCA as a Nash Equilibrium.
ICLR
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2021 — conf
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index.
NAACL-HLT
Roma Patel, Marta Garnelo, Ian Gemp, Chris Dyer, Yoram Bachrach
2021 J jnl
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.
CoRR
Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
2020 J jnl
D3C: Reducing the Price of Anarchy in Multi-Agent Learning.
CoRR
Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
2020 J jnl
EigenGame: PCA as a Nash Equilibrium.
CoRR
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2020 A* conf
Learning to Play No-Press Diplomacy with Best Response Policy Iteration.
NeurIPS
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
2020 J jnl
Learning to Play No-Press Diplomacy with Best Response Policy Iteration.
CoRR
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
2020 J jnl
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.
CoRR
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2020 A* conf
Smooth markets: A basic mechanism for organizing gradient-based learners.
ICLR
David Balduzzi, Wojciech M. Czarnecki, Tom Anthony, Ian Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel
2020 A conf
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning.
AAMAS
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
2020 J jnl
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning.
CoRR
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
2018 J jnl
Global Convergence to the Equilibrium of GANs using Variational Inequalities.
CoRR
Ian Gemp, Sridhar Mahadevan
2018 J jnl
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.
J. Artif. Intell. Res.
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2017 A* conf
Automated Data Cleansing through Meta-Learning.
AAAI
Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh
2017 — conf
Generative Multi-Adversarial Networks.
ICLR (Poster)
Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
2017 J jnl
Online Monotone Games.
CoRR
Ian Gemp, Sridhar Mahadevan
2017 C conf
Unmixing in the presence of nuisances with deep generative models.
IGARSS
Mario Parente, Ian Gemp, Ishan P. Durugkar
2016 J jnl
Deep Generative Models for Spectroscopic Analysis on Mars.
CoRR
Ian Gemp, Ishan P. Durugkar, Mario Parente, Melinda Darby Dyar, Sridhar Mahadevan
2016 J jnl
Generative Multi-Adversarial Networks.
CoRR
Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
2016 J jnl
Online Monotone Optimization.
CoRR
Ian Gemp, Sridhar Mahadevan
2015 — conf
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities.
AAAI Workshop: Computational Sustainability
Ian Gemp, Sridhar Mahadevan, Bo Liu
2014 — conf
Modeling Context in Cognition Using Variational Inequalities.
AAAI Fall Symposia
Ian Gemp, Sridhar Mahadevan
2014 J jnl
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.
CoRR
Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu