Reinforcement Learning for Stochastic Networks, Toulouse

Session

Keynote: Adam Wierman (Caltech)

Jun 19, 2024, 9:30 AM

Amphi B00 (ENSEEIHT)

76. Learning Augmented Algorithms for MDPs

6/19/24, 9:30 AM

Abstract: Making use of modern black-box AI tools such as deep reinforcement learning is potentially transformational for sustainable systems such as data centers, electric vehicles, and the electricity grid. However, such machine-learned algorithms typically do not have formal guarantees on their worst-case performance, stability, or safety. So, while their performance may improve upon...