Transfer and meta-learning are important topics to scale reinforcement learning (and deep learning) to series of tasks, where we want to be able to re-use information from previous tasks.

People:

• Aske Plaat

• Mike Preuss

• Matthias Muller-Brockhausen

• Mike Huisman

• Zhao Yang

Example papers: