Kai Cui
9 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (3)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Reinforcement Learning
(8)
Methods
(8)
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(6)
Learning Types · Machine Learning
(5)
Mathematics & Optimization
(2)
Applications
(2)
Optimization
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
mean field game
(6)
policy gradient
(3)
sparse graph
(3)
multi-agent reinforcement learning
(3)
mean-field control
(3)
multi-agent system
(2)
power law graph
(2)
fictitious play
(2)
nash equilibrium
(2)
equilibrium learning
(2)
entropy regularization
(1)
quantal response equilibrium
(1)
collective behavior
(1)
sparse network
(1)
fixed-point iteration
(1)
graphon mean field game
(1)
common noise
(1)
kernel methods
(1)
graph neural network
(1)
major-minor player
(1)
Papers
Bounded Rationality Equilibrium Learning in Mean Field Games
AAAI 2025
Learning Mean Field Control on Sparse Graphs
ICML 2025
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
ICLR 2024
Learning Discrete-Time Major-Minor Mean Field Games
AAAI 2024
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
ICLR 2024
Major-Minor Mean Field Multi-Agent Reinforcement Learning
ICML 2024
Learning Sparse Graphon Mean Field Games
AISTATS 2023
Learning Graphon Mean Field Games and Approximate Nash Equilibria
ICLR 2022
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
AISTATS 2021