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.
Humans are good at solving sequential decision making problems, generalizing from a few examples, and learning and expressing generalized knowledge that can help solve new problems. Computing such knowledge remains a long-standing open problem for Artificial Intelligence (AI). Over the last two decades, there has been remarkable progress in the performance of automated planning systems. However, real-world scalability and skill/plan generalization for complex, long-horizon tasks remains an open challenge.
We welcome contributions focusing on different formulations/representations for generalization, empirically validated methods, theoretical analyses, foundations for generalization, learning and transfer in planning.
Workshop related queries can be addressed to the Organizing Committee at: genplan22\at\gmail.com.
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:
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 (NeurIPS, UAI, ICML, CoRL, IROS,...) 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.
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:
Papers can be submitted via EasyChair at https://easychair.org/conferences/?conf=genplan22.
|Announcement and call for submissions||March 24, 2022|
|Paper submission deadline|
|Camera ready version due||June 23, 2022|
|Workshop||July 23, 2022|
Arizona State University