/bprl

Business Process Control using Reinforcement Learning. Work in progress.

Primary LanguagePythonMIT LicenseMIT

The gym-fin suite for OpenAI Gym

https://travis-ci.org/schuderer/bprl.svg?branch=master https://coveralls.io/repos/github/schuderer/bprl/badge.svg?branch=master

Note

This work is partially unpublished and in progress. Please do not cite the repository as a whole, but use the recommendations for the specific components below.

To install Sim-Env:

$ pip install git+https://github.com/schuderer/bprl
For usage of, or to cite, Sim-Env, please use our PAAMS Demo Paper:
Schuderer A., Bromuri S., van Eekelen M. (2021) Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models. In: Dignum F., Corchado J.M., De La Prieta F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science, vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_39

For more in-depth explanations and code examples, please find supplementary material on Sim-Env here.