Transfer and Meta-learning
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: