2 papers
physics.plasm-ph2026
Reinforcement-learning control of turbulence transition in the modified Hasegawa-Wakatani system
Luning Sun, Ben Zhu, Xin-Yang Liu +2
Control of plasma turbulence remains a long-standing challenge in magnetically confined fusion research. Here, we explore a reinforcement-learning (RL) approach for bidirectional c…
cs.LG2026
Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction
Deepak Akhare, Luning Sun, Xin-Yang Liu +4
Active flow control is a fundamental application in engineering. Recent advances in deep reinforcement learning have made progress in this field. However, the classical online RL a…