ICAPS 2024: Call for Tutorial Proposals

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Miquel Ramírez

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Dec 21, 2023, 9:54:14 PM12/21/23
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**Submission Deadline: March 1st, 2024**

**Notification of Acceptance: March 18th, 2024**

**Tutorial dates and location: June 2nd and 3rd, 2024, Banff, Alberta, Canada**

**Conference website: https://icaps24.icaps-conference.org**

**Contact email: tuto...@icaps2024.com**

The Organizing Committee for the 34th International Conference on Automated Planning and Scheduling (ICAPS 2024) invites proposals for its Tutorial Program. Tutorials offer the attendees a review of a specific subfield by a leading expert. Participation in the tutorials is free for all ICAPS participants.

We welcome proposals in all areas of AI planning and scheduling and highly encourage topics that have not appeared in recent ICAPS tutorials. We accept both introductory tutorials and more advanced tutorials covering recent advances in depth. We explicitly encourage proposals that address techniques of relevance to planning and scheduling, even if planning and scheduling are not the main focus of the proposed tutorial. Proposals could target, for example,

- relevant techniques and best practices in Software Engineering for developing and testing critical components in planning & scheduling technology, 

- recent advances in neuro symbolic methods and frameworks, including the underlying theory (e.g. provenance semirings) for propagating information across the neural-symbolic interface,
 
- applications of machine learning and reinforcement learning theory and algorithms in planning and scheduling technology,

- novel formulations and algorithms that address scalable planning and robust control for complex dynamical systems composed of multiple devices or agents, including sensors or state estimation procedures based on machine learning,

- novel tools and recent theoretical advances in deterministic and stochastic optimization,

- novel methods, theoretical results, and solvers for Boolean Satisfiability and other problems related to constraint satisfaction,

- recent advances in general algorithms for stream processing and sketching with potential applications in planning and scheduling technology,

- novel algorithms in (approximate) dynamic programming and heuristic search, 

- Other relevant techniques in knowledge representation and reasoning, such as answer set programming, probabilistic logic programming, etc.

We encourage tutorials that (i) include a hands-on session that can be completed remotely or asynchronously, allowing participants to experiment with useful tools, or (ii) experiment with algorithmic components, to deepen the participant's understanding of the topic. We especially welcome tutorials that collaborate with a workshop, such that the tutorial provides some introductory material that can be later discussed at the workshop.

**Tutorial Proposals**

Tutorial Submissions should include the tutorial's title, type (advanced or introductory), summary, outline, and expected length (half-day or quarter-day), as well as a short CV of the proposer(s), including a list of significant publications of relevance to the tutorial's topic and/or prior tutorial experience.

Tutorial proposals should be submitted by email, in PDF, to the Tutorial Chairs with the subject "Tutorial Proposal for ICAPS-24" no later than March 1st, 2024, AoE. Organizers of tutorials will be notified by email of the acceptance or rejection of their proposal by March 18th, 2024.

**Summary of Important Dates**

The deadline for submission of proposals is March 1st, 2024.

Notification of tutorial acceptance: March 18th, 2024.

Tutorial dates: June 2-3, 2024 (together with ICAPS-24 Workshops).

**Tutorial Program Chairs**

The tutorial chairs are

 - Miquel Ramirez (University of Melbourne, Dept. Electrical and Electronic Engineering)
 - Christina N. Burt (Fortescue Metals Group, Perth, Australia)

Please direct all questions about the tutorial program to the tutorial program chairs via the official workshop e-mail address: tuto...@icaps2024.com.


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Research Fellow in Autonomous Systems
Department of Electrical and Electronic Engineering
The University of Melbourne
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