ICAPS 2024 Keynotes (June 4th) Hector Geffner Learning Representations to Act and Plan Recent progress in deep learning and deep reinforcement learning (DRL) has been truly remarkable, yet two important problems remain: structural policy generalization and policy reuse. The first is about getting policies that generalize in a reliable way; the second is about getting policies that can be reused and combined in a flexible, goal-oriented manner.
Preliminary Program Overview ICAPS 2024 Schedule at a Glance May 27-31, 2024 Summer School June 1, 2024 Doctoral Consortium June 2-3, 2024 Workshops and Tutorials June 4-6, 2024 Main Conference June 6-8, 2024 Symposium on Combinatorial Search (SoCS) Additional Information about the Program A total of 9 Workshops and 5 Tutorials have been accepted to ICAPS 2024. ICAPS 2024 will host 3 Keynotes. Check the keynote page for additional information about their talks.
Tutorial Program Overview Here is the list of the tutorials accepted to ICAPS 2024
Tutorial Title Organizer(s) T01 -AI Techniques for Solving Scheduling Problems
Nysret Musliu, Lucas Kletzander and Florian Mischek
T02 - Finding Multiple Plans for Classical Planning Problems
Shirin Sohrabi, Michael Katz, Junkyu Lee, David Speck
T03 - A Hands-On Tutorial on scikit-decide, the Open-Source C++ and Python Library for Planning, Scheduling and Reinforcement Learning
Tutorial Title Abstract Resources Tutorial Website About the authors
ICAPS-24 System Demonstrations All demo extended abstracts can be found here
The League of Robot Runners Competition: Goals, Designs, and Implementation Multi-Agent Path Finding (MAPF) is an important practical problem found in many application settings, from logistics and transportation to robotics and automation. In this paper, we introduce the goals, designs and implementations of the League of Robot Runners (LoRR), a competition to foster and advance this research area.
