Luke Marris
12 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Triple Crown
ποΈ
Keyword Collector
(53)
π
Trend Setter
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(5)
Machine Learning
(5)
Reinforcement Learning
(4)
Optimization & Theory
(4)
Architectures
(3)
Core Methods
(3)
Learning Types
(3)
Methods
(3)
Applications Β· Reinforcement Learning
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Robotics
(1)
Applications Β· Robotics
(1)
Keywords
game theory
(7)
neural network
(3)
nash equilibrium
(3)
normal-form game
(2)
best response
(2)
multi-agent learning
(2)
correlated equilibrium
(2)
multi-agent system
(2)
policy iteration
(1)
elo rating
(1)
transfer learning
(1)
gradient descent
(1)
representation learning
(1)
monte carlo estimation
(1)
policy optimization
(1)
extensive-form game
(1)
zero-sum game
(1)
deep learning
(1)
convolutional neural network
(1)
monte carlo tree search
(1)
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
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
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
NeurIPS 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
NeurIPS 2018