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#POD2C Partially-Observed Decoupled Data-based Control implementation on MuJoCo 200 Win64


The algorithm has two steps:

  1. Find the optimal control sequence in the deterministic system using arma-ilqr method.
  2. Wrap a linear local feedback policy around the openloop nominal trajectory using arma-lqg method.

Requirements

  • Matlab 2018 or later

  • MuJoCo 200 Windows x64 version

    Authors: Ran Wang, Raman Goyal.

    The algorithm is the implementation of the work in the paper "Information State based Reinforcement Learning for the Control of Partially Observed Nonlinear Systems" Arxiv: https://arxiv.org/pdf/2107.08086

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