Learning to Continually Learn

21 Feb 2020Shawn BeaulieuLapo FratiThomas MiconiJoel LehmanKenneth O. StanleyJeff CluneNick Cheney

Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically forgetting it. Much work has gone towards preventing the default tendency of machine learning models to catastrophically forget, yet virtually all such work involves manually-designed solutions to the problem... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.