Planning for the Real World:
The promises and challenges of dealing with uncertainty
ORGANIZERS:
Drew Bagnell, Carnegie
Mellon University, Pittsburgh PA USA
Joelle Pineau, Carnegie Mellon University, Pittsburgh PA USA
Nicholas Roy, Massachusetts Institute of Technology, Cambridge MA USA
DESCRIPTION:
As autonomous systems move towards increasingly complex real-world
domains, new challenges arise for planning and control. Perhaps the most
critical aspect is the problem of integrating uncertainty about
state into the control loop. The overwhelming intractability of
obtaining optimal solutions to these problems has been a major barrier
for the deployment of planning systems that reason about uncertainty. In
recent years, however, more scalable approaches have been proposed and
some have been applied to practical problems. In light of these novel
approaches, the goal of this workshop is to discuss important questions
and open issues:
- What are currently the best techniques for planning under
uncertainty?
- What representations of uncertainty are most appropriate for real
world problems?
- What are the remaining frontiers, in terms of algorithmic challenges,
for planning uncertainty?
- In which real world problems can we gain traction by applying these
techniques that manage uncertainty?
- What role does learning have to play with regard to both efficient
solution and representation of uncertainty?
Main Page
Schedule
Call for Posters
CONTACT:
E-mail: nickr+nips@cs.cmu.edu