Hsu-Chieh Hu and Stephen F. Smith
Learning Model Parameters for Decentralized Schedule-Driven Traffic Control

William Shen, Felipe Trevizan and Sylvie Thiébaux
Learning Domain-Independent Planning Heuristics with Hypergraph Networks

Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu and Bo Wu
Joint Inference of Reward Machines and Policies for Reinforcement Learning

Giuseppe De Giacomo, Marco Favorito, Luca Iocchi and Fabio Patrizi
Imitation Learning over Heterogeneous Agents with Restraining Bolts

Maxime Treca, Julian Garbiso and Dominique Barth
Guidelines for Action Space Definition in Reinforcement Learning-Based Traffic Signal Control Systems

Francesco Percassi, Alfonso E. Gerevini, Enrico Scala, Ivan Serina and Mauro Vallati
Generating and Exploiting Cost Predictions in Heuristic State-Space Planning

Alan Lindsay, Santiago Franco, Rubiya Reba and Thomas L. McCluskey
Refining Process Descriptions from Execution Data in Hybrid Planning Domain Models

Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Paolo Traverso and Dana Nau
Integrating Acting, Planning, and Learning in Hierarchical Operational Models

Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Yasaman Khazaeni and Subbarao Kambhampati
D3WA+ A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning

Philipp Danzinger, Tobias Geibinger, Florian Mischek and Nysret Musliu
Solving the Test Laboratory Scheduling Problem with Variable Task Grouping

Lucas Kletzander and Nysret Musliu
Solving Large Real-Life Bus Driver Scheduling Problems with Complex Break Constraints

Wayne Chi, Steve Chien and Jagriti Agrawal
Scheduling with Complex Consumptive Resources for a Planetary Rover

Florian Geißer, Guillaume Povéda, Felipe Trevizan, Manon Bondouy, Florent Teichteil-Königsbuch and Sylvie Thiébaux
Optimal and Heuristic Approaches for Constrained Flight Planning under Weather Uncertainty

Gregor Behnke, Pascal Bercher, Matthias Kraus, Marvin Schiller, Kristof Mickeleit, Timo Häge, Michael Dorna, Michael Dambier, Dietrich Manstetten, Wolfgang Minker, Birte Glimm and Susanne Biundo
New Developments for Robert – Assisting Novice Users Even Better in DIY Projects

Michael Katz, Parikshit Ram, Shirin Sohrabi and Octavian Udrea
Exploring Context-Free Languages via Planning: The Case for Automating Machine Learning

Juan Fernandez-Olivares and Raul Perez
Driver Activity Recognition by Means of Temporal HTN Planning

Waldy Joe and Hoong Chuin Lau
Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers

Jane Jean Kiam, Enrico Scala, Miquel Ramirez Javega and Axel Schulte
An AI-Based Planning Framework for HAPS in a Time-Varying Environment

Mohan Sridharan, Michael Gelfond, Jeremy Wyatt and Shiqi Zhang
REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics

Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prakash Mishra and Subbarao Kambhampati
RADAR: Automated Task Planning for Proactive Decision Support