A constrained multi-agent RL tracker with a linear-assignment safety layer and cost-margin gradients improves particle track reconstruction on simulated proton-CT data.
Magnetic control of tokamak plasmas through deep reinforcement learning,
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Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning
A constrained multi-agent RL tracker with a linear-assignment safety layer and cost-margin gradients improves particle track reconstruction on simulated proton-CT data.