GenPlan '21: IJCAI 2021 Workshop on

Generalization in Planning



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.

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.

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.

Workshop related queries can be addressed to the Organizing Committee at: genplan21\at\

Important Dates

  • Paper Submission Deadline April 30, 2021 May 9, 2021

  • Author Notification May 18, 2021 May 25, 2021

  • Camera-ready version due June 30, 2021

  • Workshop Date August 19, 2021 (2-8pm UTC)

Papers should be submitted via EasyChair at