A repository to support the paper Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources.
Paper citation:
@InProceedings{9029805,
author={R. N. {Haksar} and F. {Solowjow} and S. {Trimpe} and M. {Schwager}},
booktitle={2019 IEEE 58th Conference on Decision and Control (CDC)},
title={Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources},
year={2019},
pages={1315-1322},}
- Developed with Python 3.6
- Requires the
numpy
package - Requires the simulators repository
Analysis.py
: Approximates percolation on a lattice using a set of Galton-Watson branching processes. Provides estimates of the rate of growth and stopping time of percolation.main.py
: Demonstrates use of different policies with the model approximation on simulations of forest fires.Policies.py
: Defines stochastic/deterministic policies for controlling a forest fire.Utilities.py
: Helper functions to simplify implementation of model approximation and policies.Visualize.py
: Generates box plot visualization of results.