**DEADLINE EXTENSION to MAY 23 to avoid NIPS submission conflict**

CFP: ICML/IJCAI/AAMAS 2018 Workshop on *Planning and Learning* (PAL-18)


Stockholm, Sweden July 14 or 15, 2018

Planning and learning are both core areas of Artificial Intelligence. The
reinforcement learning community has mostly relied on approximate dynamic
programming and Monte-Carlo tree search as its workhorses for planning,
while the field of planning has developed a diverse set of representational
formalisms and scalable algorithms that are currently underexplored in
learning approaches.  Further, the planning community could benefit from
the tools and algorithms developed by the machine learning community, for
instance to automate the generation of planning problem descriptions.

The purpose of this workshop is to encourage discussion and collaboration
between the communities of planning and learning. Furthermore, we also
expect that agents and general AI researchers are interested in the
intersection of planning and learning, in particular those that focus on
intelligent decision making.  As such, the joint workshop program is an
excellent opportunity to gather a large and diverse group of interested

Workshop topics:

The Planning and Learning workshop solicits work at the intersection of the
fields of machine learning and planning.  We also solicit work solely in
one area that can influence advances in the other so long as the
connections are *clearly articulated* in the submission.  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
 * Reinforcement learning (model-based, Bayesian, deep, etc.)
 * Model representation and learning for planning
 * Theoretical aspects of planning and learning
 * Learning and planning competition(s)
 * Applications of planning and learning

Invited Speakers:
 * Pieter Abbeel, UC Berkeley
 * Emma Brunskill, Stanford University
 * Craig Boutilier, Google (Mountain View)
 * Thore Graepel, Google DeepMind

Important Dates:

 * Submission deadline: Extended to May 23, 2018 (11:59pm Hawaii Time)
 * Notification date: May 30, 2018
 * Camera-ready deadline: June 13, 2018
 * Workshop date: July 14 or 15 (TBD), 2018

Submission Procedure:

We solicit workshop paper submissions relevant to the above call of the
following types:

 * Long papers -- up to 8 pages + unlimited references / appendices
 * Short papers -- up to 4 pages + unlimited references / appendices
 * Extended abstracts -- up to 2 pages + unlimited references / appendices

We will accept papers in any of the IJCAI, ICML, AAMAS, or NIPS formats.
Submissions are not anonymous and should include author information.

Some accepted long papers will be accepted as contributed talks.  All
accepted long and short papers and extended abstracts will be given a slot
in the poster presentation session.  Extended abstracts are intended as
brief summaries of already published papers, challenge or position papers,
or preliminary work.

Paper submissions should be made through EasyChair:


Organizing Committee:
Scott Sanner, University of Toronto
Matthijs Spaan, TU Delft
Timothy Mann, Google DeepMind
Aviv Tamar, UC Berkeley
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