[PlanetKR] Final CFP: IJCAI-ECAI 2022 Workshop on Generalization in Planning

[Pulkit Verma]

GenPlan '22: IJCAI-ECAI 2022 Workshop on Generalization in Planning

TL; DR: Please consider submitting your recent work and surveys of recent
results on Generalization in Planning by May 20, 2022, at
https://aair-lab.github.io/genplan22. The workshop will be organized as a
part of the IJCAI-ECAI 2022 <https://ijcai-22.org/> conference (July 23-29,
2022). Please see the submission details below!


INVITED SPEAKERS


Blai Bonet <https://bonetblai.github.io/>, Universidad Simón Bolívar,
Venezuela.

Tesca Fitzgerald <https://www.tescafitzgerald.com/>, Carnegie Mellon
University, USA.

Eva Onaindia <https://grps.webs.upv.es/>, Universitat Politècnica de
València, Spain.


WORKSHOP OVERVIEW

Humans are good at solving sequential decision-making problems,
generalizing from a few examples, and learning skills that can be
transferred to the solution of unseen problems. These problems remain
long-standing open problems for Artificial Intelligence (AI). Over the last
two decades, there has been remarkable progress in the performance of
automated planning systems to solve decision-making problems by including
novel search techniques and heuristics. However, real-world scalability and
skill/plan generalization for complex, long-horizon tasks still remains an
open challenge for current AI algorithms.

This workshop aims to build synergies across different AI communities in
order to address all aspects of generalization of solutions for sequential
decision making including, but not limited to, representation of problems
and solution concepts that enable efficient generalization and transfer of
relevant knowledge, and algorithms for learning or synthesizing such
generalized knowledge and solutions.

We welcome contributions focusing on different formulations/representations
for generalization, empirically validated methods, and theoretical analyses
and foundations for generalization.

This workshop is the sixth edition of the recurring GenPlan workshop series.



TOPICS

The focus of the workshop will be on learning and synthesis of behaviors
that are applicable to broad classes of problems. Topics of interest to
this workshop bring together research being conducted not only in multiple
sub-fields of AI research (including automated planning, knowledge
representation, and reinforcement learning) but also in other fields of
research, including formal methods and program synthesis.

We welcome submissions that address formal as well as empirical issues on
topics such as:

   -

   Formulation of generalized problems: propositional, first-order, and
   other types of representations, and possible decomposition of such
   representations in terms of hierarchies, behaviors, multiple objectives,
   etc.
   -

   Representation of solution structures that enable generalization and
   transfer.
   -

   Learning high-level models for generalizable planning.
   -

   Learning and synthesis approaches for computing solutions.
   -

   Instantiation and execution of general solutions over new problem
   instances.
   -

   Heuristics for plan and policy generalization.
   -

   Learning policies and heuristics for generalized planning.
   -

   Generation and detection of good examples for few-shot generalizable
   planning and learning.
   -

   Program synthesis.
   -

   Deriving domain control knowledge and partial policies with planning and
   learning.
   -

   Generalization in environments with partial observability and/or noise.
   -

   Generalization and transfer in reinforcement learning.


WORKSHOP FORMAT

The workshop will feature multiple invited plenary and highlight talks as
well as presentations of submitted technical and position papers. It will
also include discussion sessions tuned to the topics presented at the
workshop. The workshop is scheduled for one day. IJCAI-ECAI 2022 will be an
in-person event this year, and the workshop will follow the same format as
the conference.

SUBMISSION REQUIREMENTS

Submissions can describe either work in progress or mature work that has
already been published at other research venues and would be of interest to
researchers working on generalization in planning. Previously published
work in whole or in part may be in the form of resubmission of a previous
paper, or in the form of a position paper that overviews and cites a body
of work. Submissions of papers being reviewed at other venues (NeurIPS,
CoRL, IROS,...) are welcome since GenPlan is a non-archival venue and we
will not require a transfer of copyright. If such papers are currently
under blind review, please anonymize the submission. Submissions may use
either the IJCAI '22 paper format (https://www.ijcai.org/authors_kit) or
the NeurIPS ’22 paper format. Camera-ready versions of accepted papers will
be required in the IJCAI '22 format by the camera-ready deadline.

Two types of papers can be submitted:

   -

   full technical papers with the length of up to 8 pages + 2 for
   references (9+2 pages in NeurIPS format)
   -

   short papers with the length between 2 and 4 pages + 1 for references


Papers can be submitted via EasyChair at
https://easychair.org/conferences/?conf=genplan22.

IMPORTANT DATES

   -

   Paper submission deadline: May 13, 2022 May 20, 2022 (AoE, 11:59 PM
   UTC-12)
   -

   Author notification: June 03, 2022 June 10, 2022
   -

   Camera-ready version due: June 23, 2022
   -

   Workshop date: July (23-25, to be confirmed), 2022

ORGANIZING COMMITTEE

Pulkit Verma <https://pulkitverma.net/>, Arizona State University, USA.

Yuqian Jiang <https://yuqianjiang.us/>, University of Texas at Austin, USA.

Rushang Karia <http://rushangkaria.github.io/>, Arizona State University,
USA.

Jendrik Seipp <https://jendrikseipp.com/>, Linköping University, Sweden.



Workshop-related queries can be addressed to genplan22 at gmail.com.
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