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07/21/2021
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
Traffic signal control is one of the most effective methods of traffic m...
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03/06/2021
Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Drones have been considered as an alternative means of package delivery ...
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02/17/2021
Distributed Fair Scheduling for Information Exchange in Multi-Agent Systems
Information exchange is a crucial component of many real-world multi-age...
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01/12/2021
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
End-to-end delay is a critical attribute of quality of service (QoS) in ...
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08/21/2020
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
Ensuring quality of service (QoS) guarantees in service systems is a cha...
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06/29/2020
Probabilistic Bounds on the End-to-End Delay of Service Function Chains using Deep MDN
Ensuring the conformance of a service system's end-to-end delay to servi...
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12/18/2019
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks
Motivated by interest in providing more efficient services in customer s...
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10/26/2017