Luke Marris
12 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Conference Polyglot (4)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π
Triple Crown
π
Century Club
(12)
π
Trend Setter
Conferences
ICLR (6)
ICML (3)
NIPS (2)
IJCAI (1)
Top co-authors
Keywords
game theory
(3)
correlated equilibrium
(2)
neural network
(2)
multi-agent system
(2)
nash equilibrium
(1)
policy iteration
(1)
multi-agent learning
(1)
monte carlo tree search
(1)
zero-sum game
(1)
convolutional neural network
(1)
zero-shot generalization
(1)
opponent modeling
(1)
general-sum game
(1)
extensive form game
(1)
strategic exploration
(1)
best response
(1)
neural population learning
(1)
conditional policy
(1)
n-player game
(1)
target propagation
(1)
Papers
Re-evaluating Open-ended Evaluation of Large Language Models
ICLR 2025
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
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
NeuPL: Neural Population Learning
ICLR 2022
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
ICML 2022
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
NIPS 2022
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
ICML 2021
A Generalized Training Approach for Multiagent Learning
ICLR 2020
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
NIPS 2018