Ian Gemp
17 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π
Grand Slam
π
Century Club
(17)
π
Trend Setter
π₯
Unstoppable
(6)
Conferences
ICLR (8)
NIPS (3)
ICML (2)
IJCAI (2)
AAAI (1)
NAACL (1)
Top co-authors
Keywords
deep reinforcement learning
(3)
monte carlo tree search
(2)
game theory
(2)
policy iteration
(2)
neural network
(2)
multi-agent system
(2)
markov decision process
(1)
nash equilibrium
(1)
multi-agent learning
(1)
preference elicitation
(1)
preference modeling
(1)
generative model
(1)
auction mechanism
(1)
zero-shot generalization
(1)
correlated equilibrium
(1)
game ai
(1)
model generalization
(1)
multi-agent game
(1)
opponent modeling
(1)
evaluation metric
(1)
Papers
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
ICML 2025
Solving Zero-Sum Convex Markov Games
ICML 2025
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
IJCAI 2025
Re-evaluating Open-ended Evaluation of Large Language Models
ICLR 2025
NfgTransformer: Equivariant Representation Learning for Normal-form Games
ICLR 2024
Generative Adversarial Equilibrium Solvers
ICLR 2024
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
ICLR 2024
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
ICLR 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
NIPS 2023
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract)
AAAI 2023
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
NIPS 2022
EigenGame Unloaded: When playing games is better than optimizing
ICLR 2022
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index
NAACL 2021
EigenGame: PCA as a Nash Equilibrium
ICLR 2021
A Neural Network Auction For Group Decision Making Over a Continuous Space
IJCAI 2021
Smooth markets: A basic mechanism for organizing gradient-based learners
ICLR 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
NIPS 2020