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Reinforcement learning for efficient discrete time trajectory sampling

This repository contains the code used to generate the results found here. These include:

  • tabular and neural network based approaches to the construction of a dynamics which efficiently generates random walker excursions
  • a linear, fourier expansion based approach to finding a dynamics for efficient study of rare statistics for currents on a ring with a periodic potential