Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning.
Yu WangJingfei WuXingyuan HuaChi Harold LiuGuozheng LiJianxin ZhaoYe YuanGuoren WangPublished in: ICDE (2023)
Keyphrases
- reinforcement learning
- multi agent
- deep learning
- graph theoretical
- state space
- spatial information
- function approximation
- multiple agents
- topological information
- multi agent reinforcement learning
- weighted graph
- multi agent environments
- spatial data
- random walk
- graph matching
- graph model
- graph structure
- cooperative
- consistency check
- spatial configurations
- machine learning
- spatio temporal
- graph representation
- multi agent systems
- learning agents
- unsupervised learning
- single agent
- reinforcement learning algorithms
- optimal policy
- unsupervised feature learning
- model free
- human computation
- deep belief networks
- coalition formation
- graph theory
- spatial relations
- directed graph
- spatial and temporal
- markov decision processes
- path planning
- structured data
- supervised learning
- graph mining
- directed acyclic graph
- bipartite graph
- definite clause
- multiagent systems
- traffic signal control
- dynamic programming