A deep policy iteration method reformulates finite-horizon mean-field games as regenerative problems with deterministic cycles, using particle systems and one-step updates to handle dimensions up to 10,000 efficiently.
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Reviews and provides numerical analysis for three classes of methods to compute transport coefficients in molecular dynamics, including error estimates and variance reduction techniques.
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Deep Policy Iteration for High-Dimensional Mean-Field Games with Regenerative Reformulation
A deep policy iteration method reformulates finite-horizon mean-field games as regenerative problems with deterministic cycles, using particle systems and one-step updates to handle dimensions up to 10,000 efficiently.
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Mathematical analysis and numerical methods for the computation of transport coefficients in molecular dynamics
Reviews and provides numerical analysis for three classes of methods to compute transport coefficients in molecular dynamics, including error estimates and variance reduction techniques.