simulators
A common repository for simulators for processes modeled by graph-based Markov models and related utilities to support various research projects.
Current projects using this repository:
- ddrl-firefighting: Deep reinforcement learning approach for coordinating a team of autonomous aerial vehicles to fight a forest wildfire.
- control-large-GMDPs: Approximate dynamic programming approach for computing constrained policies to fight a forest wildfire and to limit the outbreak of a virus.
- control-percolation: Percolation-based approach for computing constrained policies to fight a forest wildfire.
- filter-large-GHMMs: Variational approach for fast online filtering of a forest wildfire and a virus outbreak.
- distributed-sensing: Coordination framework for multi-agent persistent coverage with limited communication.
Installation
Clone this repository and run pip3 install -e . in the directory in order to install the package and access the
simulators system-wide.
Directories:
simulators/epidemics: Simulate a disease epidemic.simulators/fires: Simulate a forest fire.
Files:
simulators/Element.py: Template for simulation elements.simulators/Simulator.py: Template for simulators.examples/epidemicsExample.py: Example use of the 2014 West Africa Ebola outbreak simulator.examples/firesExample.py: Example use of the lattice-based forest.