Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems M Raeis, A Tizghadam, A Leon-Garcia GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2021 | 17 | 2021 |
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service M Raeis, A Tizghadam, A Leon-Garcia Proceedings of the AAAI Conference on Artificial Intelligence, 2021 | 16 | 2021 |
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control M Raeis, A Leon-Garcia ITSC 2021 IEEE 24th International Conference on Intelligent Transportation …, 2021 | 10 | 2021 |
Predicting distributions of waiting times in customer service systems using mixture density networks M Raeis, A Tizghadam, A Leon-Garcia 2019 15th International Conference on Network and Service Management (CNSM), 1-6, 2019 | 9 | 2019 |
Improving instantaneous capacity and outage probability in DF-relaying M Raeis, MJ Omidi, J Kazemi 2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-5, 2013 | 9 | 2013 |
Analysis of a queueing model for energy storage systems with self-discharge M Raeis, A Burchard, J Liebeherr ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2020 | 8* | 2020 |
Dynamic resource management for providing qos in drone delivery systems B Khamidehi, M Raeis, ES Sousa ITSC 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 5 | 2022 |
Probabilistic bounds on the end-to-end delay of service function chains using deep mdn M Raeis, A Tizghadam, A Leon-Garcia 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020 | 5 | 2020 |
Distributed Fair Scheduling for Information Exchange in Multi-Agent Systems M Raeis, SJ Golestani ICAPS 2021- International Conference on Automated Planning and Scheduling, 2021 | 2 | 2021 |
Real-Time Delay Prediction and Quality of Service Assurance for Traffic Management in Service Systems M Raeis University of Toronto (Canada), 2021 | | 2021 |
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks M Raeis, A Tizghadam, A Leon-Garcia arXiv preprint arXiv:1912.08368, 2019 | | 2019 |