
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Exploring the Success of AI in Fusion Reactor Stability
This chapter focuses on the successful outcomes of testing an algorithm designed to control instability in fusion reactors. The discussion emphasizes the need for generalizing the algorithm and the potential for broader dataset applications to enhance future fusion energy production.
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