Transfer and Meta-learning

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: