Watts: Infrastructure for Open-Ended Learning

Aaron Dharna, Charlie Summers, Rohin Dasari +2

This paper proposes a framework called Watts for implementing, comparing, and recombining open-ended learning (OEL) algorithms. Motivated by modularity and algorithmic flexibility,…