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Submission deadline: December 18, 2020
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Notification: February 16, 2021
Call for Papers: Planning and Learning Track
The Planning and Learning track aims to present research at
the intersection of the fields of machine and reinforcement
learning with planning and scheduling. In particular, we are
interested in work that draws substantially from the
objectives, techniques, or methodologies of both fields.
Topics include, but are not limited to the following:
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Reinforcement learning using planning (model-based,
Bayesian, deep, etc.)
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Model representation and learning domain models for
planning
- Learning domain and action models for planning
- Representations for learned models in planning
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Learning effective heuristics and other forms of control
knowledge
- Theoretical aspects of planning and learning
- Multi-agent planning and learning
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Planning applied to automating machine learning systems
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Learning to improve the effectiveness of planning &
scheduling systems
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Applications that involve a combination of learning with
planning or scheduling
Important Dates
*** Abstracts (electronic submission) due: December 11,
2020
*** Full Papers (electronic submission, PDF) due: December 18,
2020
*** Notification of acceptance: February 16, 2021
The reference timezone for all deadlines is UTC-12. That is,
as long as there is still some place anywhere in the world
where the deadline has not yet passed, you are on time!
Author Guidelines
Authors may submit long papers (8 pages AAAI style plus up to
one page of references) or short papers (4 pages plus up to
one page of references). The type of paper must be indicated
at submission time. Both long and short papers will be
reviewed against the standard criteria of relevance,
originality, significance, clarity and soundness, and are
expected to meet the high standards set by ICAPS. Short papers
may be of narrower scope. For example, they can either address
a highly specific issue, or propose/evaluate a small, yet
important, extension of previous work or a new idea. Authors
making multiple submissions must ensure that each submission
has significant unique content. Papers submitted to ICAPS 2021
may not be submitted to other conferences or journals during
the ICAPS 2021 review period, nor may be already under review
or published in other conferences or journals. Over-length
papers will be rejected without review.
Submission Instructions
All submissions will be made electronically, through the
EasyChair conference system:
https://www.easychair.org/conferences/?conf=icaps2021.
Submitted PDF papers should be anonymous for double-blind
reviewing, adhere to the page limits of the relevant track
CFP/submission type (long or short), and follow the AAAI
author kit instructions for formatting:
https://www.aaai.org/Publications/Templates/AuthorKit21.zip.
In addition to the submitted PDF paper, authors can submit
supplementary material (videos, technical proofs, additional
experimental results) for their paper. Please make sure that
the supporting material is also anonymized. Papers should be
self-contained; reviewers are encouraged, but not obligated,
to consider supporting material in their decisions.
The proceedings will be published by AAAI Press. All accepted
papers will be published in the main conference proceedings
and will be presented orally at the conference (full papers
will be allocated more time).
ICAPS 2021 Planning and Learning Track Chairs
Sinno Jialin Pan, Nanyang Technological University
Scott Sanner, University of Toronto
Contact
Please direct all questions to: ICAPS2021@easychair.org