When: Wednesday, September 7, 2022, 12pm (CEST).

Where: Room B203, DIAG & Zoom online, check the address in the Google Calendar Event.

Topic: Feature-based Generalized Policies and Guarantees

Speaker: Prof. Blai Bonet, retired Professor of Computer Science from Universidad Simón Bolívar, and currently research associate at the Universitat Pompeu Fabra, Barcelona, Spain.

Abstract

In recent years, generalized planning has become an important thread in planning and deep reinforcement learning (DRL). In the logical setting, a successful approach for generalized planning is to express general policies or strategies with rules over state features as the latter provide the necessary abstraction over classes of planning instances with different sets of grounded actions, and the rules tell which transition to take at non-goal states. Furthermore, the same type of rules can also be used to express general strategies based on subgoal-based decompositions that are guarantee to be executable in polynomial time. In this talk, we revise the main ideas underlying these approaches and address the task of establishing formal guarantees for general policies.

Short Bio

Prof. Blai Bonet is retired professor from the Computer Science Department at Universidad Simon Bolivar, Venezuela, and currently a research associate at the Universitat Pompeu Fabra, Barcelona, Spain. He received his Ph.D. degree in computer science from the University of California, Los Angeles. His research interests are in the areas of automated planning, search and knowledge representation, deep learning, and theory of computation. Blai has received several best paper awards or honorable mentions, including the 2009 and 2014 ICAPS Influential Paper Awards, and he is a co-author of the book “A Concise Introduction to Models and Methods for Automated Planning”. He has served as associate editor of Artificial Intelligence and the Journal of Artificial Intelligence Research (JAIR), conference co-chair of ICAPS-12, program co-chair of AAAI-15, and has been a member of the Executive Council for ICAPS and AAAI.

Material