AINeutralarXiv – CS AI · Jun 96/10
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Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark
Researchers introduce RL4F, an open-source benchmark for applying offline reinforcement learning to plasma control in nuclear fusion reactors. Using historical data from the DIII-D tokamak, the framework enables safe algorithm development without costly real-device experimentation, with model-based RL methods showing superior performance across multiple plasma control objectives.