Quentin Cappart
8 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Mathematics & Optimization
(5)
Core AI
(5)
Optimization
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Core Methods
(1)
Keywords
combinatorial optimization
(6)
graph neural network
(2)
deep reinforcement learning
(2)
neural combinatorial optimization
(2)
reinforcement learning
(2)
constraint programming
(2)
thompson sampling
(1)
traveling salesman problem
(1)
inductive bia
(1)
travelling salesman problem
(1)
autonomous agent
(1)
knapsack problem
(1)
dual bound
(1)
vehicle dispatching
(1)
decision diagram
(1)
memory module
(1)
search space exploration
(1)
exact solver
(1)
combinatorial task
(1)
web agent
(1)
Papers
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
AAAI 2025
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems
L4DC 2024
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization
IJCAI 2024
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
NeurIPS 2024
Combinatorial Optimization and Reasoning with Graph Neural Networks
JMLR 2023
Combinatorial Optimization and Reasoning with Graph Neural Networks
IJCAI 2021
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
AAAI 2021
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning
AAAI 2019