2 papers
physics.plasm-ph2026
Reinforcement learning for vertical position control on the EXL-50U spherical tokamak
Lei Xing, Huicong Ma, Changquan Yu +14
Vertical position control is essential for sustaining high-performance operation in spherical tokamaks, where increased plasma elongation introduces stringent requirements on fast…
physics.plasm-ph2026
Advantage-level Aggregation Reinforcement Learning for X-point Target Magnetic Configuration Control in an EXL-50U Experiment-Calibrated Simulation Environment
Siqi Ding, Xuanhe Wang, Pei Guo +10
Managing divertor heat loads is a central challenge for compact, high-power tokamaks. To increase local flux expansion and decouple the dissipation volume from the core, EHL-2 adop…