Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
Qi LiuZirui LiXueyuan LiJingda WuShihua YuanPublished in: CoRR (2022)
Keyphrases
- multi agent decision making
- reinforcement learning
- multi agent
- graph theory
- function approximation
- network traffic
- directed graph
- state space
- graph structure
- graph representation
- image processing
- graph mining
- structured data
- optimal policy
- traffic flow
- model free
- social choice
- cooperative
- markov decision processes
- shortest path
- dynamic environments
- random walk
- markov chain
- graphical representation