Last Call for Papers
ICML Workshop on Planning and Acting with Uncertain Models
Submission Deadline: April 29, 2011
Workshop Date: July 2, 2011
URL: http://web.mit.edu/~wingated/www/icml2011_workshop
Recent years have seen huge advances in capturing structured uncertainty, and
many action-selection approaches have been developed to leverage knowledge
about model-uncertainty: Bayesian approaches cast unknown model parameters as
additional hidden state; PAC approaches provide guarantees on the agent's final
performance; robust algorithms minimize overall regret. However, simple
approximations, such as ignoring much of the uncertainty or making myopic
decisions, often perform quite well. Does their success imply that they are
sufficiently sophisticated? In what problem domains is explicitly planning to
gather information to reduce model uncertainty crucial to good performance?
What insights do successful action-selection strategies provide on how to best
track model uncertainty?
The goal of this workshop is to identify state of the art methods for planning
under uncertainty and discuss why specific methods work well in specific
domains. For example, how do explicit rewards for reducing uncertainty---such
as goal-oriented problems---affect what planning algorithms are most
successful? When planners do not take explicit steps to reduce model
uncertainty, is that a result of the approximation or the fact that, in many
domains, most reasonable policies reduce model uncertainty reasonably well?
When is it useful to introduce internal rewards for exploration or reducing
model variance? How should agents decide what aspects of the model are worth
exploring?
Submissions:
We invite full and short papers on recent work exploring these questions.
Papsers should be in ICML format, submitted to [email protected] by April 29,
2011. Notifications for oral and poster presentations will be sent out by May
20, 2011.
Program Format:
The format of the workshop will include a series of invited speakers for an
extended discussion about the various approaches to planning with model
uncertainty. Confirmed speakers are Satinder Singh (University of Michigan),
David Hsu (Stanford University), Joelle Pineau (McGill University), and Lihong
Li (Yahoo! Research). The workshop will also include a poster session and oral
presentations for contributed papers, as well as periods to compare different
approaches and discuss open problem domains.
Organizers:
Finale Doshi-Velez and David Wingate
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