Geometric Pareto Control embeds Pareto solutions in a Lie group submanifold and navigates via Riemannian gradient flow to achieve 100% feasibility and low suboptimality in control tasks without retraining.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Offline model-based RL policy trained solely on DIII-D historical data is deployed on the tokamak and yields promising real-world rotation profile control.
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Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
Offline model-based RL policy trained solely on DIII-D historical data is deployed on the tokamak and yields promising real-world rotation profile control.