Ian Gemp
17 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(12)
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Machine Learning
(10)
Optimization & Theory
(8)
Reinforcement Learning
(5)
Deep Learning
(4)
Core Methods
(4)
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(3)
Mathematics & Optimization
(2)
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Keywords
game theory
(6)
nash equilibrium
(3)
deep reinforcement learning
(3)
neural network
(3)
multi-agent system
(3)
representation learning
(2)
normal-form game
(2)
monte carlo tree search
(2)
convex markov games
(2)
gradient descent
(2)
policy iteration
(2)
mechanism design
(1)
continuous optimization
(1)
markov decision process
(1)
gradient-based optimization
(1)
spectral clustering
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policy gradient
(1)
density estimation
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adversarial learning
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elo rating
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Papers
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
IJCAI 2025
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
ICML 2025
Re-evaluating Open-ended Evaluation of Large Language Models
ICLR 2025
Solving Zero-Sum Convex Markov Games
ICML 2025
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
ICLR 2024
Generative Adversarial Equilibrium Solvers
ICLR 2024
NfgTransformer: Equivariant Representation Learning for Normal-form Games
ICLR 2024
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract)
AAAI 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
NeurIPS 2023
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
ICLR 2023
EigenGame Unloaded: When playing games is better than optimizing
ICLR 2022
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
NeurIPS 2022
A Neural Network Auction For Group Decision Making Over a Continuous Space
IJCAI 2021
EigenGame: PCA as a Nash Equilibrium
ICLR 2021
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index
NAACL 2021
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
NeurIPS 2020
Smooth markets: A basic mechanism for organizing gradient-based learners
ICLR 2020