Ian Gemp

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Markov Decision Process

Nash Equilibrium

Variational Inequalities

Reinforcement Learning

Top Venues

AAAI Fall Symposia

Publications

Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. CoRR (2024)
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
NfgTransformer: Equivariant Representation Learning for Normal-form Games. CoRR (2024)
Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. CoRR (2024)
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
Generative Adversarial Equilibrium Solvers. CoRR (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS (2023)
Ian Gemp, Charlie Chen, Brian McWilliams
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium. ICLR (2023)
Ian Gemp, Luke Marris, Georgios Piliouras
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization. CoRR (2023)
Kevin Du, Ian Gemp, Yi Wu, Yingying Wu
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract). AAAI (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR (2023)
Luke Marris, Ian Gemp, Georgios Piliouras
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games. CoRR (2023)
Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS (2023)
Luke Marris, Ian Gemp, Thomas W. Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers. CoRR (2022)
Elise van der Pol, Ian Gemp, Yoram Bachrach
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. TAG-ML (2022)
Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers. NeurIPS (2022)
Kevin Du, Ian Gemp, Yi Wu, Yingying Wu
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process. CoRR (2022)
Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
Game Theoretic Rating in N-player general-sum games with Equilibria. CoRR (2022)
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. CoRR (2020)
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. J. Artif. Intell. Res. 63 (2018)
Ian Gemp, Sridhar Mahadevan
Global Convergence to the Equilibrium of GANs using Variational Inequalities. CoRR (2018)
Mario Parente, Ian Gemp, Ishan P. Durugkar
Unmixing in the presence of nuisances with deep generative models. IGARSS (2017)
Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh
Automated Data Cleansing through Meta-Learning. AAAI (2017)
Ian Gemp, Sridhar Mahadevan
Online Monotone Games. CoRR (2017)
Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
Generative Multi-Adversarial Networks. ICLR (Poster) (2017)
Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
Generative Multi-Adversarial Networks. CoRR (2016)
Ian Gemp, Ishan P. Durugkar, Mario Parente, Melinda Darby Dyar, Sridhar Mahadevan
Deep Generative Models for Spectroscopic Analysis on Mars. CoRR (2016)
Ian Gemp, Sridhar Mahadevan
Online Monotone Optimization. CoRR (2016)
Ian Gemp, Sridhar Mahadevan, Bo Liu
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. AAAI Workshop: Computational Sustainability (2015)
Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. CoRR (2014)
Ian Gemp, Sridhar Mahadevan
Modeling Context in Cognition Using Variational Inequalities. AAAI Fall Symposia (2014)