Tag
This paper introduces RL4F, an offline reinforcement learning benchmark for plasma control in nuclear fusion, providing closed-loop evaluation environments and baseline comparisons across four profile tracking tasks using real tokamak data from DIII-D. The codebase and datasets are open-sourced to foster further research.
DeepMind announces a research partnership with Commonwealth Fusion Systems to advance fusion energy using AI, leveraging deep reinforcement learning and the TORAX plasma simulator to optimize the SPARC tokamak's performance and accelerate the path to net fusion energy.