A PPO reinforcement learning agent finds quiver mutation sequences that enumerate finite BPS spectra and minimal chambers of complete N=2 theories, with new chamber counts for SU(2) Nf=4.
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BPS spectroscopy with reinforcement learning
A PPO reinforcement learning agent finds quiver mutation sequences that enumerate finite BPS spectra and minimal chambers of complete N=2 theories, with new chamber counts for SU(2) Nf=4.