Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing.
Wei ShenXiaonan HeChuheng ZhangQiang NiWanchun DouYan WangPublished in: CIKM (2020)
Keyphrases
- reinforcement learning
- mobile devices
- mobile applications
- temporal difference
- mobile phone
- computing environments
- mobile networks
- function approximation
- mobile computing
- robotic control
- policy search
- state space
- handheld devices
- multi agent
- intelligent mobile
- optimal control
- optimal policy
- dynamic programming
- smart phones
- mobile users
- markov decision processes
- model free
- transfer learning
- markov decision process
- mobile communication
- mobile commerce
- learning process
- amazon mechanical turk
- multi agent systems
- wearable devices