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efficient exploration

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.

KAUST Research Conference on Robotics and Autonomy (RobotoKAUST)

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