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• Goal-directed graph construction using reinforcement learning
  2020
• Solving Graph-based Public Good Games with Tree Search and Imitation Learning
  2021
• Planning Spatial Networks with Monte Carlo Tree Search
  2021
• Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
  2022
• Graph Neural Modeling of Network Flows
  2022
• Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery
  2023
• Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
  2024
• Large Language Models are Effective Priors for Causal Graph Discovery
  2024