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Found 4 papers, 0 papers with code
The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metrics
The second strategy uses an enhanced Q-learning approach and balances the age-based metric, the transmission energy and the frequency of risky states without requiring knowledge about the system.
Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing
The task assignment problem is modeled as a matching game considering the MCSP's and MUs' individual goals while the MUs learn their efforts online.
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing
In our algorithm, a local controller (LC) in the mobile device of a worker regularly observes the worker's context, her/his decisions to accept or decline tasks and the quality in completing tasks.
Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks
We derive a sublinear regret bound, which characterizes the learning speed and proves that our algorithm converges to the optimal cache content placement strategy in terms of maximizing the number of cache hits.
