AI RESEARCH
Gym-TORAX: Open-source software for integrating reinforcement learning with plasma control simulators in tokamak research
arXiv CS.LG
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ArXi:2510.11283v2 Announce Type: replace This paper presents Gym-TORAX, a Python package enabling the implementation of Reinforcement Learning (RL) environments for simulating plasma dynamics and control in tokamaks. Users define succinctly a set of control actions and observations, and a control objective from which Gym-TORAX creates a Gymnasium environment that wraps TORAX for simulating the plasma dynamics.