About Fares Fourati Fares Fourati Ph.D. Student, Electrical and Computer Engineering machine learning Deep learning Reinforcement Learning artificial intelligence combinatorial multi-armed bandits intelligent systems black-box optimization Fares Fourati is a Ph.D. student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Events Presented Events Apr 26 - May 2, 2026 Reinforcement Learning and Optimization in Large Action Spaces under Limited Feedback Fares Fourati, Ph.D. Student, Electrical and Computer Engineering Apr 29, 15:00 - 16:45 B2 R5209 Reinforcement Learning machine learning combinatorial multi-armed bandits large action spaces limited feedback efficient exploration submodular optimization black-box optimization global optimization This dissertation develops theoretical foundations and scalable algorithms for reinforcement learning and optimization in large decision spaces under limited feedback.
Reinforcement Learning and Optimization in Large Action Spaces under Limited Feedback Fares Fourati, Ph.D. Student, Electrical and Computer Engineering Apr 29, 15:00 - 16:45 B2 R5209 Reinforcement Learning machine learning combinatorial multi-armed bandits large action spaces limited feedback efficient exploration submodular optimization black-box optimization global optimization This dissertation develops theoretical foundations and scalable algorithms for reinforcement learning and optimization in large decision spaces under limited feedback.
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