Reinforced SDMD uses RL to select trajectory initial conditions guided by a spectral-consistency reward, with qualitative experiments on three stochastic test systems and standard bandit/DQN/PPO machinery.
Arnold.Mathematical methods of classical mechanics, volume 60
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Reinforcement-Learning-Guided Data-Driven Estimation of Spectral Properties of Stochastic Koopman Semigroups
Reinforced SDMD uses RL to select trajectory initial conditions guided by a spectral-consistency reward, with qualitative experiments on three stochastic test systems and standard bandit/DQN/PPO machinery.