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Verification_Guided_Control_Learning

This repository contains the main implementation of "Verification in the Loop: Correct-by-Construction Control Learning with Reach-avoid Guarantees", which is submitted to NeurIPS 2021.

Installation

Please refer to ReachNN to set up the environment. Addtionally, you need to set up cnpy, which is a C++ library save vector into numpy array.

Usage

To run the controller synthesis for Adaptive Crucise Control(ACC), please do

./example_acc.sh

To run the controller synthesis for non-linear Van der Pol's Oscillator system, please do

cd Bernstein_Polynomial_Approximation
make name=nn_os_relu_tanh
python controller_approximation_lib.py -flag 1

To run the controller synthesis for the 3-dimensional numerical example, please do

cd Bernstein_Polynomial_Approximation
make name=nn_3d_relu_tanh
python controller_approximation_lib_3dsys

Contributing

Please open an issue if there is any problem you encounter with.

To do

Organize the code.

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