Final Deadline Extension – ICAPS'23 Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS)

[Daniel Höller]

**Final Deadline Extension**

-- Apologies for cross-posting --

We extended the submission deadline for the RDDPS workshop to *April 7*.
You can find the call for papers below.


ICAPS'23 Workshop on Reliable Data-Driven Planning and Scheduling
(RDDPS): Call for Papers

## Aim and Scope of the Workshop

Data-driven AI is the dominating trend in AI at this time. From a
planning and scheduling perspective – and for sequential decision making
in general – this is manifested in two major kinds of technical
artifacts that are rapidly gaining importance. The first are planning
models that are (partially) learned from data (e.g., a weather forecast
in a model of flight actions). The second are action-decision components
learned from data, in particular, action policies or planning-control
knowledge for making decisions in dynamic environments (e.g.,
manufacturing processes under resource-availability and job-length
fluctuations). Given the nature of such data-driven artifacts,
reliability is a key concern, prominently including safety, robustness,
and fairness in various forms, but possibly other concerns as well.
Arguably, this is one of the grand challenges in AI for the foreseeable
future.


## Topics of Interest

Given this, the workshop welcomes contributions to any topic that
roughly falls into the following problem space:

(1) Data-driven artifacts: Reliability of learned planning and
scheduling models (e.g. action models, transition probabilities,
environment prediction, etc.); learned action-decisions (e.g. action
policies, components thereof, previous plans, etc.); combinations of both.

(2) Objectives: Reliability in whatever form, including risk, safety,
robustness, fairness, error bounds, etc.; alongside possibly other
concerns such as scalability and data efficiency, system
design/engineering principles and challenges, and the interactions of
these with reliability.

(3) Methodologies: Planning and scheduling algorithms in the presence of
learned artifacts as per 1.; analyzing such artifacts (reasoning,
verification, testing, etc.); making such analyses amenable to human
users (visualization, interaction); potentially others as relevant to
the objectives as per 2.


## Important Dates

- Submission Deadline: April 7, 2023 (AoE)
- Author Notification: April 28, 2023
- Camera-Ready Deadline: June 10, 2023 (AoE)
- ICAPS 2023 Workshops: July 9-10, 2023


## Submission Details

All papers must be formatted according to the AAAI formatting guidelines
(https://www.aaai.org/Publications/Templates/AuthorKit23.zip). Submitted
papers should be *anonymous* for double-blind reviewing. Paper
submission is via EasyChair
(https://easychair.org/conferences/?conf=rddps23).

We call for two kinds of submissions:
Technical papers, of length up to 8 pages plus references. The workshop
is meant to be an open and inclusive forum, and we encourage papers that
report on work in progress.
Position papers, of length up to 4 pages plus references. Given that
reliability of data-driven planning and scheduling is rather new at
ICAPS, we encourage authors to submit positions on what they believe are
important challenges, questions to be considered, approaches that may be
promising. We will include any position relevant to discussing the
workshop topic. We expect to group position paper presentations into a
dedicated session, followed by a panel discussion.

Every submission will be reviewed by members of the program committee
according to the usual criteria such as relevance to the workshop,
significance of the contribution, and technical quality.

At least one author of each accepted paper must attend the workshop in
order to present the paper. Authors must register for the ICAPS
conference in order to attend the workshop.


### Policy on Previously Published Materials

Please do not submit papers that are already accepted for the ICAPS main
conference. All other submissions, e.g. papers under review for
IJCAI'23, are welcome. Authors submitting papers rejected from the ICAPS
main conference, please ensure you do your utmost to address the
comments given by ICAPS reviewers. Also, it is your responsibility to
ensure that other venues your work is submitted to allow for papers to
be already published in "informal" ways (e.g. on proceedings or websites
without associated ISSN/ISBN).


## Workshop Committee

- Sara Bernardini, Royal Holloway University of London, UK
- Jesse Davis, KU Leuven, Belgium
- Alan Fern, Oregon State University, USA
- Daniel Höller, Saarland University, Germany
- Jörg Hoffmann, Saarland University, Germany
- Michael Katz, IBM Research, USA
- Michele Lombardi, DISI, University of Bologna, Italy
- Scott Sanner, University of Toronto, Canada
- Marcel Steinmetz, Saarland University, Germany
- Sylvie Thiebaux, University of Toulouse, France, and Australian
National University, Australia
- Eyal Weiss, Bar-Ilan University, Israel