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Paper

Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark

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AI summary

arXiv:2606. 07550v1 Announce Type: new Abstract: Offline reinforcement learning (RL) offers a promising route for developing plasma controllers from historical tokamak data, since online trial-and-error on real devices is costly and risky.