================================================================
CALL FOR PAPERS
Bridging the Gap Between AI Planning and Reinforcement Learning
(PRL 2022)
http://prl-theworkshop.github.io ICAPS, Virtual - June 14-17, 2022.
NEWS: This year the PRL workshop will have two editions:
The first one at ICAPS 2022, and the second one at IJCAI 2022.
PRL@ICAPS authors will be given the opportunity to specify
whether they want their submission to be considered for
PRL@IJCAI as well. The final decision will be made separately
for each of the workshop locations.
Please see the website for additional information on the two
editions.
PRL@ICAPS New dates:
----------
* Submission deadline: Friday, April 1st, 2022 (UTC-12 timezone)
* Notification date: Friday, April 29th, 2022
* Camera-ready deadline: Friday 10 June, 2022
* Workshop date: June 14-17(TBD), 2022
================================================================
While AI Planning and Reinforcement Learning communities focus on similar
sequential decision-making problems, these communities remain somewhat unaware
of each other on specific problems, techniques, methodologies, and evaluation.
This workshop aims to encourage discussion and collaboration between the
researchers in the fields of AI planning and reinforcement learning. We aim to
bridge the gap between the two communities, facilitate the discussion of
differences and similarities in existing techniques, and encourage collaboration
across the fields. We solicit interest from AI researchers that work in the
intersection of planning and reinforcement 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
researchers.
Workshop topics:
================
The workshop solicits work at the intersection of the fields of reinforcement
learning and planning. One example is so-called goal-directed reinforcement
learning, where a goal must be achieved, and no partial credit is given for
getting closer to the goal. In this case, a usual metric is success rate. 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:
* Theoretical aspects of planning and reinforcement learning
* Goal-oriented sequential decision methods combining planning, RL
or other ML methods.
* Goal-directed reinforcement learning (model-based, Bayesian, deep, etc.)
* Safe Reinforcement Learning and Planning
* Certification/analysis of learned policies/models
* Planning using approximated/uncertain (learned) models
* Monte Carlo Planning
* Learning search heuristics for planner guidance
* Model representation and learning for planning
* Applications of both reinforcement learning and planning
* Various levels of generalization (across goals, objects/domain, domains)
* Reinforcement Learning and planning competition(s)
Important Dates:
================
* Submission deadline: Friday, April 1st, 2022 (UTC-12 timezone)
* Notification date: Friday, April 29th, 2022
* Camera-ready deadline: Friday 10 June, 2022
* Workshop date: June 14-17(TBD), 2022
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
Please format submissions in AAAI style (see instructions in the Author Kit at
https://www.aaai.org/Publications/Templates/AuthorKit22.zip). Authors considering
submitting to the workshop papers rejected from other conferences, please ensure
you do your utmost to address the comments given by the reviewers. Papers
accepted to the main ICAPS conference may be considered in the extended abstract
form.
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, preliminary work, position papers or challenges that
might help bridge the gap.
As the main purpose of this workshop is to solicit discussion, the authors are
invited to use the appendix of their submissions for that purpose.
Paper submissions should be made through EasyChair:
https://easychair.org/my/conference?conf=prl20220Workshop Organizers
=====================
Michael Katz, IBM T.J. Watson Research Center, NY, USA
Hector Palacios, ServiceNow Research, Montreal, Canada
Vicenç Gómez, Universitat Pompeu Fabra, Barcelona, Spain
Please send your inquiries to
prl.the...@gmail.com