Modeling the rapid evolution of plasma in a tokamak, a device for controlled nuclear fusion, is complex due to its high-dimensional dynamics. The authors develop a highly accurate simulator with robust extrapolation capabilities, enabling rapid training of a reinforcement learning actor. This approach facilitates stable 400-ms operation on the HL-3 tokamak.
- Niannian Wu
- Zongyu Yang
- Wulyu Zhong
