[Apologies if you receive this CFP multiple times]
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CALL FOR PAPERS
Workshop on Planning and Learning (PAL), ICAPS 2015
Jerusalem, Israel
June 7-8, 2015
WEB: http://www.cs.bgu.ac.il/~icaps15/workshops/pal.html
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Call for Papers:
Learning and planning are two distinct capabilities required for an
intelligent agent, but they are connected in many ways and it is often
beneficial to consider them together.
Learning allows planning to be more easily applied to new domains by
serving as a means for automatically acquiring knowledge required in
planning. In traditional planning methods, knowledge about the models and
the search guidance are often manually specified, and can be very difficult
or time-consuming to obtain. Many recent works have addressed the knowledge
acquisition bottleneck by learning models for planning and learning
heuristics to guide planning.
The techniques in planning can be used for solving learning problems. For
example, Bayesian reinforcement learning for MDPs can be formulated as a
Partially Obserable Markov Decision Process (POMDP), and thus can be solved
using a POMDP solution algorithm. The problem of active learning can be
formulated as a planning problem too.
Some existing learning or planning algorithms, when viewed from the right
perspective, also show interesting connections between learning and
planning. For example, adaptive Monte Carlo planning can be seen as online
learning of search guidance.
This workshop aims to provide a stimulating forum for researchers from both
the learning community and the planning community to discuss recent
advances, and potential developments on these exciting topics at the
intersection of learning and planning. This workshop is the continuation of
the lineage of four workshops on planning and learning in 2007, 2009, 2011,
2013.
Submissions are invited for topics on, but not limited to:
- Multi-agent planning and learning
- Robust planning in uncertain (learned) models
- Adaptive Monte Carlo planning
- Learning search heuristics for planner guidance
- Model-based reinforcement learning
- Bayesian reinforcement learning
- Model representations for learning and planning
- Theoretical aspects of planning and learning
- Learning and planning competition
- Applications of planning and learning
Important Dates:
- Submission Deadline: February 20, 2015.
- Notifications and Technical Program: March 20, 2015.
- Workshop Date: June 7th or 8th, 2015
- Submission Procedure
Paper should be submitted via the workshop EasyChair web site:
https://easychair.org/conferences/?conf=icapswpal2015
Paper submission is in PDF only. Please format submissions in AAAI style.
Refer to the author instructions on the AAAI web site for detailed
formatting instructions and LaTeX style files (
http://www.aaai.org/Publications/Author/author.php). Final papers will be
in the same format, keep them to at most 8+1 pages long (meaning 8 pages
plus 1 extra page containing only references). Please note that all
submitted papers will be peer-reviewed, and that low-quality or off-topic
papers will not be accepted. Also note that all workshop participants must
register for the main ICAPS 2015 conference and that at least one author of
each accepted paper must attend the workshop.
Organizing Committee:
Alan Fern
School of Electrical Engineering and Computer Science
Oregon State University
Corvallis OR 97331 USA
Hanna Kurniawati
School of Information Technology and Electrical Engineering
The University of Queensland (St. Lucia Campus)
Brisbane, QLD, 4072, Australia
Scott Sanner
NICTA & ANU
Canberra, Australia
Nan Ye
Department of Computer Science
National University of Singapore
Singapore 117417
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