Generalization in Planning

• Submission deadline for technical and position papers: May 9, 2021

• Confirmed list of Invited Speakers

• The list of accepted papers is now online!

• The tentative program has been released! Workshop date on August 19, 2021, from 2pm to 8pm (GMT/UTC time)

• Titles and abstracts of invited talks are now open. (July 30, 2021)

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\gmail.com.