2 citations · 3 across the 7 of their papers we have counts for
8 papers
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
Majid Raeis, Alberto Leon-Garcia
Traffic signal control is one of the most effective methods of traffic management in urban areas. In recent years, traffic control methods based on deep reinforcement learning (DRL…
Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Behzad Khamidehi, Majid Raeis, Elvino S. Sousa
Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time. Due to the battery limitations, the drones are best suited for last-mi…
Distributed Fair Scheduling for Information Exchange in Multi-Agent Systems
Majid Raeis, S. Jamaloddin Golestani
Information exchange is a crucial component of many real-world multi-agent systems. However, the communication between the agents involves two major challenges: the limited bandwid…
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
End-to-end delay is a critical attribute of quality of service (QoS) in application domains such as cloud computing and computer networks. This metric is particularly important in…
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Ensuring quality of service (QoS) guarantees in service systems is a challenging task, particularly when the system is composed of more fine-grained services, such as service funct…
Probabilistic Bounds on the End-to-End Delay of Service Function Chains using Deep MDN
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Ensuring the conformance of a service system's end-to-end delay to service level agreement (SLA) constraints is a challenging task that requires statistical measures beyond the ave…
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Motivated by interest in providing more efficient services in customer service systems, we use statistical learning methods and delay history information to predict the conditional…
Analysis of the Leakage Queue: A Queueing Model for Energy Storage Systems with Self-discharge
Majid Raeis, Almut Burchard, Jorg Liebeherr
Energy storage is a crucial component of the smart grid, since it provides the ability to buffer transient fluctuations of the energy supply from renewable sources. Even without a…