Graph Reinforcement Learning for Network Control via Bi-Level Optimization.
Daniele GammelliJames HarrisonKaidi YangMarco PavoneFilipe RodriguesFrancisco C. PereiraPublished in: ICML (2023)
Keyphrases
- bi level
- reinforcement learning
- gray scale
- control problems
- spanning tree
- optimal control
- control system
- robot control
- network model
- pricing model
- dynamic networks
- random graphs
- graphical representation
- random walk
- control policy
- network traffic
- small world
- bipartite graph
- distribution network
- fully connected
- structured data
- edge weights
- control strategies
- machine learning
- directed graph
- graph theory
- complex networks
- adaptive control
- path length
- image compression
- function approximation
- optimization problems
- wireless sensor networks
- strongly connected
- feature extraction