QuantFPFlow uses quantum amplitude estimation in a Fokker-Planck RL framework to achieve O(1/ε) partition function estimation and reports improved global optimum discovery plus better scaling in continuous control tasks.
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QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning
QuantFPFlow uses quantum amplitude estimation in a Fokker-Planck RL framework to achieve O(1/ε) partition function estimation and reports improved global optimum discovery plus better scaling in continuous control tasks.