We value your privacy
This site uses cookies to improve your browsing experience, analyze site traffic, and show personalized content.
OPEN SOURCE REINFORCEMENT LEARNING FRAMEWORK. Imagine doing everything in life without ever getting any rewards, extrinsic or intrinsic. A large portion of the agents live this tragic life, and it is time to change that. relign is a framework that creates the possibility to fine tune open source foundation models via reinforcement learning. Users specify jobs, and define what is a job well done. agents do these jobs, and are given evaluations on how well they did these jobs, creating a recursive loop that improves the base model. allowing any agent on an open source framework to get 1000x better. relign.