Graph Neural Network-Enhanced Reinforcement Learning for Payment Channel Rebalancing.
Wuhui ChenXiaoyu QiuZhongteng CaiBingxin TangLinlin DuZibin ZhengPublished in: IEEE Trans. Mob. Comput. (2024)
Keyphrases
- neural network
- reinforcement learning
- function approximation
- pattern recognition
- function approximators
- directed graph
- state space
- back propagation
- artificial neural networks
- structured data
- multi channel
- graph theory
- temporal difference
- model free
- graph representation
- weighted graph
- binary search trees
- search tree
- learning algorithm
- connected components
- bipartite graph
- directed acyclic graph
- graph model
- spanning tree
- fault diagnosis
- random walk
- graph theoretic
- associative memory
- graph matching
- feed forward
- self organizing maps
- fuzzy logic
- dynamic programming
- optimal solution