ICAPS 2019 Planning & Learning Track Berkeley, CA -- July 2019
https://www.easychair.org/conferences/?conf=icaps2019 In 2019, the International Conference on Planning and Scheduling (ICAPS) will run a Planning and Learning track as part of the main conference. Machine learning has impacted all aspects of Artificial Intelligence and Computer Science, and planning is no exception. This new track provides an opportunity for the AI planning and scheduling community to engage directly with developments in the learning community for the benefit of both. The Planning and Learning track aims to present research at the intersection of the fields of machine learning and planning & 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: * Reinforcement learning * Learning to improve the effectiveness of planning & scheduling systems * Learning domain models * Planning & scheduling in learned domain models * Learning effective heuristics and other forms of control knowledge * Planning applied to automating machine learning systems * Applications that involve a combination of learning with planning or scheduling 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. All papers, regardless of length, will be reviewed against the standard criteria of relevance, originality, significance, clarity and soundness, and are expected to meet the same high standards set by ICAPS. Short papers may be of narrower scope, for example by addressing a highly specific issue, or proposing or evaluating a small, yet important, extension of previous work or new idea. Authors making multiple submissions must ensure that each submission has significant unique content. Papers submitted to ICAPS 2019 may not be submitted to other conferences or journals during the ICAPS 2019 review period nor may they be already under review or published in other conferences or journals. Overlength papers will be rejected without review. Submission Instructions: Submission site and instructions announced soon at https://icaps19.icaps-conference.org/ 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: is https://www.aaai.org/Publications/Templates/AuthorKit19.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 decision. 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). Important Dates: November 16, 2019 Abstracts (electronic submission) due November 21, 2019 Papers (electronic submission, PDF) due Feb 6, 2019 Notification of acceptance 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! Planning and Learning Track chairs Timothy Mann (Google DeepMind) Alan Fern (Oregon State University) Contact Please direct any questions to timothym...@google.com<mailto:timothym...@google.com> and alan.f...@oregonstate.edu<mailto:alan.f...@oregonstate.edu>.
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