BECCA is a general learning program for use in any robot or embodied system. It consists of a hierarchical feature learner and an incremental reinforcement learner. When using BECCA, a robot learns to do whatever it is rewarded to do, and continues learning throughout its lifetime.

To see a demo, just run benchmark.py. The wiki has tutorials on how to use BECCA in your application and on how it works. A series of videos demonstrate BECCA's performance in a few different contexts. The BECCA_users group provides a forum for users to share questions, solutions, and experiences. A few publications describe earlier versions and applications of BECCA.