Reinforcement learning agent trained in DIII-D tokamak simulator achieves 2.01 cm mean shape error on held-out data, tracks dynamic targets, and remains functional under 30% random sensor dropout with direct transfer to experimental shots.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Review of experimental progress indicating negative triangularity tokamaks achieve ELM-free high confinement with advantages in divertor wetted area, detachment compatibility, and operational robustness compared to positive triangularity H-mode.
citing papers explorer
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Dynamic Plasma Shape Control with Arbitrary Sensor Subsets
Reinforcement learning agent trained in DIII-D tokamak simulator achieves 2.01 cm mean shape error on held-out data, tracks dynamic targets, and remains functional under 30% random sensor dropout with direct transfer to experimental shots.
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The Negative Triangularity Tokamak Path for Fusion Pilot Plants: Experimental Progress and Future Prospects
Review of experimental progress indicating negative triangularity tokamaks achieve ELM-free high confinement with advantages in divertor wetted area, detachment compatibility, and operational robustness compared to positive triangularity H-mode.