#POD2C Partially-Observed Decoupled Data-based Control implementation on MuJoCo 200 Win64
The algorithm has two steps:
- Find the optimal control sequence in the deterministic system using arma-ilqr method.
- 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