Apologies for cross-posting! *GenPlan ‘21: IJCAI 21 Workshop on Generalization in Planning*
TL; DR: Please consider submitting your recent work and surveys of recent results on generalization in planning by May 9, 2021 at https://sites.google.com/view/genplan21/. The workshop will be organized virtually as a part of IJCAI-21 conference (Aug 21-26, 2021). Please see submission details and confirmed invited speakers below! WORKSHOP OVERVIEW Humans are good at solving sequential decision making problems, generalizing from 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 fifth edition of the recurring GenPlan workshop series. CONFIRMED INVITED SPEAKERS We are glad to announce the following speakers for GenPlan ‘21 workshop: - Sylvie Thiebaux (plenary talk) - Roni Khardon (plenary talk) - Luc De Raedt (highlights talk) - Armando Solar-Lezama (highlights talk) - Aviv Tamar (highlights talk) - Georgios Fainekos (highlights talk) TOPICS The focus of the workshop will be on learning and synthesis of behaviors that are applicable to broad classes of problems. This topic features technical problems that are of interest 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 type 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. - Generation and detection of good examples for few-shot generalizable planning and learning. - Program synthesis methods for solving classes of problems. - Driving domain control knowledge and partial policies with planning and learning. - Generalization in environments with partial observability and/or noise. 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. It is scheduled for one-day. 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 a 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 (AAAI, ECAI, ICAPS,...) are welcome since this 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. Technical papers may be up to *8 pages + 1 for references*; position papers may be *up to 2 pages including references*. Accepted papers will be cited and referenced from this website to their original/camera-ready published versions. All papers should follow IJCAI-21 formatting guidelines, and submitted via EasyChair at https://easychair.org/conferences/?conf=genplan21. IMPORTANT DATES - Paper Submission Deadline *May 9, 2021* - Author Notification *May 25, 2021* - Camera-ready version due June 30, 2021 - Workshop Date August (21-23, to be confirmed), 2021 ORGANIZING COMMITTEE Javier Segovia-Aguas, Universitat Pompeu Fabra, Spain. Siddharth Srivastava, Arizona State University, USA. Guillem Francès, Universitat Pompeu Fabra, Spain. Blai Bonet, Universidad Simón Bolívar, Venezuela. Workshop related queries can be addressed to a common alias: genpla...@gmail.com. <http://siddharthsrivastava.net>
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