After a successful first edition in 2015, we are pleased to announce the second workshop on Learning Control within the Max Planck ETH Center for Learning Systems. The workshop will take place February 8-9 2018 at ETH Zurich. We cordially invite all researchers from ETH Zürich and MPI-IS interested in the area of Learning Control to participate and actively contribute to this workshop.
The workshop aims at bringing together researchers from ETH Zürich and MPI-IS working in the area of Learning Control in order to create and grow a community of interest within the Max Planck ETH Center for Learning Systems. The workshop will provide a platform to exchange ideas, present current research, discuss challenges for Learning Control, and initiate future research collaborations within the Center.
The topic and scope of this workshop is Learning Control. Albeit not uniquely defined, we understand Learning Control as the rather broad research area that lies at the intersection of Machine Learning and Automatic Control. This includes, but is not limited to reinforcement learning, machine learning for control, data-driven control, adaptive control, dual control, online learning, active learning for control, model learning, and applications of learning control.
The workshop is open to all researchers from MPI-IS and ETH. Nevertheless, applications of external researchers are possible, though priority will be given to researchers from MPI-IS and ETH (depending on available places). We seek to create an informal atmosphere to foster open discussions and exchange of ideas.
More information can be found at the workshop website.