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

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Pulkit Verma

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May 20, 2022, 2:30:38 AMMay 20
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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 conference (July 23-29, 2022). Please see the submission details below!


INVITED SPEAKERS


Blai Bonet, Universidad Simón Bolívar, Venezuela.

Tesca Fitzgerald, Carnegie Mellon University, USA.

Eva Onaindia, 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, Arizona State University, USA.

Yuqian Jiang, University of Texas at Austin, USA.

Rushang Karia, Arizona State University, USA.

Jendrik Seipp, Linköping University, Sweden.

 

Workshop-related queries can be addressed to genp...@gmail.com.

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