Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.
Yuxiao YeChi Harold LiuZipeng DaiJianxin ZhaoYe YuanGuoren WangJian TangPublished in: ICDE (2023)
Keyphrases
- multi agent
- reinforcement learning
- cooperative
- spatial information
- multi agent systems
- multiagent systems
- single agent
- reinforcement learning algorithms
- intelligent agents
- spatial data
- spatial relationships
- software agents
- multiple agents
- multi agent environments
- coalition formation
- function approximation
- agent cooperation
- spatial databases
- state space
- multi agent reinforcement learning
- spatio temporal
- spatial distribution
- markov decision processes
- learning classifier systems
- spatial relations
- learning process
- deep learning
- crowd sourced
- learning algorithm
- traffic signal control
- multiagent reinforcement learning
- team formation
- definite clause
- stochastic games
- learning agent
- space time