Defines responsive distributions for G-normal random variables and proposes a convergent coupled trinomial tree algorithm to compute G-expectations and sample the induced laws.
Controlled Markov processes and viscosity solutions
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
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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Responsive Distribution of G-normal Random Variables
Defines responsive distributions for G-normal random variables and proposes a convergent coupled trinomial tree algorithm to compute G-expectations and sample the induced laws.
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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.