Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty
Saeed Ghoorchian and Setareh Maghsudi
IEEE Transactions on Cognitive Communications and Networking (TCCN), 2020
Saeed Ghoorchian
I am an AI scientist at SAP. During 2023-2024, I held postdoctoral positions at the University of Tübingen and Ruhr-University Bochum, and worked as an AI scientist at SAP. In 2023, I received a Ph.D. from the University of Tübingen. During 2017-2022, I worked as research assistant at the Technical University of Berlin and the Technical University of Hamburg. My research interests include reinforcement learning, imitation learning, representation learning, and causality in LLMs.
News
- March, 2026 — Our paper 'Unified Evaluation of Table Embedding Methods Across Multiple Benchmark Scenarios', has been accepted for publication at the ICLR 2026 DATA-FM workshop.
- July, 2025 — Our paper 'Robust Inverse Reinforcement Learning under State Adversarial Perturbations', has been accepted for publication at the 28th European Conference on Artificial Intelligence (ECAI).
- April, 2025 — Our paper 'Non-Stationary Delayed Combinatorial Semi-Bandit With Causally Related Rewards', is out in the IEEE Open Journal of Signal Processing.
- March, 2025 — A preprint of our recent paper, 'Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence', is out.
- June, 2024 — I'm starting a new position as AI Scientist at SAP.