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Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems." arXiv preprint arXiv:2107.07788 (2021)."}

bo-pang/OLSbPI

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OLSbPI

This is the code for the simulation part of the paper

Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems." arXiv preprint arXiv:2107.07788 (2021).

data_generate_MIMO.m

This scripts generates input/state data from the continuous-time linear stochastic system to be controlled.

RPI_unknownQR_learning_continuous.m

This scripts learn the near-optimal stationary control policy using the collected input/state data.

draw_picture_batch.m

This scripts generates the Figure 1 in the paper.

MIMO_simulation.m

This scripts generates the Figure 2 and Figure 3 in the paper.

Environment

I successfully ran the code in MATLAB R2017b.

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Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems." arXiv preprint arXiv:2107.07788 (2021)."}

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