Environments and scripts for doing reinforcement learning for injections into different types of engines.
$ conda env create -f environment.yaml
$ nosetestsTo train an agent, you can run the PPO example:
$ cd scripts/ppo-example
$ python ../main.py --fname input.toml@article{Henrydefrahan2021,
title={Deep reinforcement learning for dynamic control of fuel injection timing in multi-pulse compression ignition engines},
author={Henry de Frahan, Marc T and Wimer, Nicholas T and Yellapantula, Shashank and Grout, Ray W},
journal={International Journal of Engine Research},
volume={-},
pages={-},
year={2021},
publisher={Sage}
}