Ian Gemp

Affiliations:

DeepMind, London, UK

According to our database¹, Ian Gemp authored at least 42 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Teamwork Reinforcement Learning With Concave Utilities.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 2024

Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package.

[BibT_eX]

[DOI]

CoRR, 2024

NfgTransformer: Equivariant Representation Learning for Normal-form Games.

[BibT_eX]

[DOI]

CoRR, 2024

Approximating the Core via Iterative Coalition Sampling.

[BibT_eX]

[DOI]

Edgar A. Duéñez-Guzmán

CoRR, 2024

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization.

[BibT_eX]

[DOI]

Ian Gemp

Luke Marris

Georgios Piliouras

CoRR, 2023

Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games.

[BibT_eX]

[DOI]

Luke Marris

Ian Gemp

Georgios Piliouras

CoRR, 2023

Generative Adversarial Equilibrium Solvers.

[BibT_eX]

[DOI]

CoRR, 2023

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium.

[BibT_eX]

[DOI]

Ian Gemp

Charlie Chen

Brian McWilliams

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process.

[BibT_eX]

[DOI]

CoRR, 2022

Game Theoretic Rating in N-player general-sum games with Equilibria.

[BibT_eX]

[DOI]

CoRR, 2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.

[BibT_eX]

[DOI]

CoRR, 2022

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2022

The Generalized Eigenvalue Problem as a Nash Equilibrium.

[BibT_eX]

[DOI]

Ian Gemp

Charlie Chen

Brian McWilliams

CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.

[BibT_eX]

[DOI]

AI Commun., 2022

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering.

[BibT_eX]

[DOI]

Elise van der Pol

Ian Gemp

Yoram Bachrach

Proceedings of the Topological, 2022

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EigenGame Unloaded: When playing games is better than optimizing.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

D3C: Reducing the Price of Anarchy in Multi-Agent Learning.

[BibT_eX]

[DOI]

Ian Gemp

Kevin R. McKee

Richard Everett

Edgar A. Duéñez-Guzmán

Yoram Bachrach

David Balduzzi

Andrea Tacchetti

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Neural Network Auction For Group Decision Making Over a Continuous Space.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

EigenGame: PCA as a Nash Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning to Play No-Press Diplomacy with Best Response Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Smooth markets: A basic mechanism for organizing gradient-based learners.

[BibT_eX]

[DOI]

David Balduzzi

Wojciech M. Czarnecki

Proceedings of the 8th International Conference on Learning Representations, 2020

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning.

[BibT_eX]

[DOI]

Kevin R. McKee

Ian Gemp

Brian McWilliams

Edgar A. Duéñez-Guzmán

Edward Hughes

Joel Z. Leibo

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2018

Global Convergence to the Equilibrium of GANs using Variational Inequalities.

[BibT_eX]

[DOI]

Ian Gemp

Sridhar Mahadevan

CoRR, 2018

2017

Online Monotone Games.

[BibT_eX]

[DOI]

Ian Gemp

Sridhar Mahadevan

CoRR, 2017

Unmixing in the presence of nuisances with deep generative models.

[BibT_eX]

[DOI]

Mario Parente

Ian Gemp

Ishan P. Durugkar

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Generative Multi-Adversarial Networks.

[BibT_eX]

[DOI]

Ishan P. Durugkar

Ian Gemp

Sridhar Mahadevan

Proceedings of the 5th International Conference on Learning Representations, 2017

Automated Data Cleansing through Meta-Learning.

[BibT_eX]

[DOI]

Ian Gemp

Georgios Theocharous

Mohammad Ghavamzadeh

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Online Monotone Optimization.

[BibT_eX]

[DOI]

Ian Gemp

Sridhar Mahadevan

CoRR, 2016

Deep Generative Models for Spectroscopic Analysis on Mars.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Solving Large Sustainable Supply Chain Networks Using Variational Inequalities.

[BibT_eX]

[DOI]

Ian Gemp

Sridhar Mahadevan

Bo Liu

Proceedings of the Computational Sustainability, 2015

2014

Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.

[BibT_eX]

[DOI]

CoRR, 2014

Modeling Context in Cognition Using Variational Inequalities.

[BibT_eX]

[DOI]

Ian Gemp

Sridhar Mahadevan

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2011

Cadherin-Dependent Cell Morphology in an Epithelium: Constructing a Quantitative Dynamical Model.

[BibT_eX]

[DOI]

Ian M. Gemp

Richard W. Carthew

Sascha Hilgenfeldt

PLoS Comput. Biol., 2011

Ian Gemp

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