Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning

Keyphrases

• Reinforcement Learning 100%
• Mobile Crowdsensing 100%
• Participant Selection 100%
• Recruiters 50%
• Selection Strategy 33%
• Crowdsensing Applications 33%
• Mobility Trajectories 33%
• Selection Decisions 16%
• Negative Effects 16%
• Experiment Results 16%
• Mobility Data 16%
• Training Data 16%
• Mobility Patterns 16%
• Mobility Profiles 16%
• Practical Deployment 16%
• Real-world Mobility 16%
• Good Sequence 16%
• Sparsity 16%
• Mobility Traces 16%
• Location Prediction 16%
• Collective Mobility 16%
• Fixed Period 16%
• Accurately Model 16%

Computer Science

• Reinforcement Learning 100%
• Selection Process 100%
• Individual Participant 100%
• Selection Decision 50%
• Negative Effect 50%
• Sparsity 50%
• Training Data 50%
• Baseline Approach 50%
• Mobility Model 50%