Wheeler Ruml
Writing Papers and Giving Talks (Invited Talk at Doctoral Consortium)

Erez Karpas
Opening Remarks, Part 2/2

Jörg Hoffmann
Opening Remarks, Part 1/2

Olivier Pietquin
Regularization in Reinforcement Learning
tutorial

Sridhar Mahadevan
Causality, Creativity and Imagination: New Frontiers in Planning
tutorial

Thomas Bolander, Thorsten Engesser, Robert Mattmüller and Sheila McIlraith
Epistemic Planning
tutorial

Jendrik Seipp
Evaluating Planners with Downward Lab
tutorial

Salomé Eriksson
Certified Unsolvability in Classical Planning, Part 2/2
tutorial

Salomé Eriksson
Certified Unsolvability in Classical Planning, Part 1/2
tutorial

Jendrik Seipp
Counterexample-Guided Cartesian Abstraction Refinement and Saturated Cost Partitioning for Optimal Classical Planning

Kyle Wray
Abstractions in Reasoning for Long-Term Autonomy

Blai Bonet
Learning Planning Representations from Traces via SAT

Leslie Pack Kaelbling
Doing for our robots what nature did for us

Frank Hutter
Getting the most out of your planner(s): from static to dynamic algorithm configuration

Aye Phyu Phyu Aung, Xinrun Wang, Bo An and Xiaoli Li
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions

Ofir Marom and Benjamin Rosman
Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics

León Illanes, Xi Yan, Rodrigo Toro Icarte and Sheila A. McIlraith
Symbolic Plans as High-Level Instructions for Reinforcement Learning

Jiajing Ling, Tarun Gupta and Akshat Kumar
Reinforcement Learning for Zone Based Multiagent Pathfinding under Uncertainty

Martim Brandão and Ioannis Havoutis
Learning Sequences of Approximations for Hierarchical Motion Planning

Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo and Antonio Bucchiarone
Learning Neural Search Policies for Classical Planning