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physics.plasm-ph2025
Plasma Shape Control via Zero-shot Generative Reinforcement Learning
Niannian Wu, Rongpeng Li, Zongyu Yang +6
Traditional PID controllers have limited adaptability for plasma shape control, and task-specific reinforcement learning (RL) methods suffer from limited generalization and the nee…
physics.plasm-ph2025
High-Fidelity Data-Driven Dynamics Model for Reinforcement Learning-based Control in HL-3 Tokamak
Niannian Wu, Zongyu Yang, Rongpeng Li +11
The success of reinforcement learning (RL)-based control in tokamaks, an emerging technique for controlled nuclear fusion with improved flexibility, typically requires substantial…
physics.plasm-ph2024
Adapted Swin Transformer-based Real-Time Plasma Shape Detection and Control in HL-3
Qianyun Dong, Zhengwei Chen, Rongpeng Li +6
In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through…