[on behalf of Emma Brunskill]
Human-in-the-loop Reinforcement Learning Postdoc Opportunity (with
focus on education applications)
Coupling human and artificial reinforcement learning agents offers the
chance to create systems for tackling the biggest problems.
Human-in-the-loop RL can help make adaptive, personalized automated
tutors that evolve beyond their original specification to enable
radically more efficient, engaging and effective learning. We have a
postdoctoral opportunity for someone to help advance the foundations
of human-in-the-loop reinforcement learning and leverage those
insights to achieve real impact on student learning.
This 1 year (with potential to extend to 2 year) position will be
co-advised by Zoran Popovic (UW) and Emma Brunskill (Stanford): you
can live in either Seattle or the bay area, with supported travel for
periodic visits to the other location.
No prior experience in human-in-the-loop RL is required, but you
should have a publication record in top AI, ML, (e.g. ICML, NIPS,
AAAI, IJCAI, UAI, AISTATS, ICLR) and/or HCI, CS and education (e.g.
EDM, AIED, LAK, LAS) conferences, and, most importantly, care deeply
about creating robust algorithms that work in the real world and make
impact.
Emma Brunskill
Assistant Professor
Computer Science
Stanford University
http://cs.stanford.edu/people/ebrun/
