Branch	Build status
Master
Develop

This project is mantained by the Group of Computational Intelligence (University of the Basque Country - UPV/EHU): http://www.ehu.eus/ccwintco

Our goal is to build a Reinforcement Learning experimenting environment in which the user can conduct experiments using a GUI without needing to code, install any dependecies, or run a configuration process.

The scope of the project is limited to:

• Control problems with continuous action and states
• State variables are numerical values

The main features of the project can be summarized:

• Parameter sweeps using 'forks' on the parameters
• Real-time and off-line experiment visualization
• Built-in result analysis tools
• Distributed execution of experiments (distribution is done via the 'forks')

In the wiki you can find information about how to get started with this project, either as an user or as a developer.

This project has been mainly contributed by Unai Tercero, Asier Rodriguez, Roland Zimmermann, José Alejandro Guerra Denis and Borja Fernández Gauna.