SAR is a unique design problem for path planning with little exposure to research. The search planning is highly dependent on the environment, and what it contains. Many papers use Probability Distribution Maps (PDMs) to inform the algorithms to make better paths since less time taken to find a missing person means higher chance of survivability.
This simulation environment is built to accommodate my research into this topic but anyone interested is more than welcome to help me build it.
pip install jsim-utils
Agent
, Simulation
, and Environment
are designed to be used as base classes. The developer must extend them as required. Have a look at the examples for more insight.
Build yourself with tox -e docs
or visit the hosted docs
This project uses pre-commit
, please make sure to install it before making any changes:
pip install pre-commit
cd jsim
pre-commit install
It is a good idea to update the hooks to the latest version:
pre-commit autoupdate
- Architecture heavily inspired by http://incompleteideas.net/RLinterface/RLI-Cplusplus.html