ICAPS-2022 Accepted Papers

Xiaoyou Lin, Qingliang Chen, Liangda Fang, Quanlong Guan, Weiqi Luo and Kaile Su. Generalized Linear Integer Numeric Planning
Loïs Vanhée, Laurent Jeanpierre and Mouaddib Abdel-Illah. Anxiety-Sensitive Planning: From Formal Foundations to Algorithms and Applications
Julian von Tschammer, Robert Mattmüller and David Speck. Loopless Top-k Planning
Malia Morgan, Julianna Schalkwyk, Huaxiaoyue Wang, Hannah Davalos, Ryan Martinez, Vibha Rohilla and James Boerkoel. Simple Temporal Networks for Improvisational Teamwork
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng and Alan Fern. Beyond Value: CheckList for Testing Inferences in Planning-Based RL
Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco Dijkman, Claudy van Dorst and Stijn de Looijer. Deep reinforcement learning for a multi-objective online order batching problem
Sofia Lemons, Carlos Linares, Robert Holte and Wheeler Ruml. Beam Search: Faster and Monotonic
Marc Rigter, Paul Duckworth, Bruno Lacerda and Nick Hawes. Planning for Risk-Aversion and Expected Value in MDPs
Benjamin Ayton and Masataro Asai. Width-Based Planning and Active Learning for Atari
Tianming Zhao, Wei Li and Albert Zomaya. Uniform Machine Scheduling with Predictions
Rostislav Horčík, Alvaro Torralba, Pavel Rytíř, Lukáš Chrpa and Stefan Edelkamp. Optimal Mixed Strategies for Cost-Adversarial Planning Games
Maxence Grand, Damien Pellier and Humbert Fiorino. TempAMLSI: Temporal Action Model Learning based on STRIPS translation
Martim Brandao, Amanda Coles, Andrew Coles and Joerg Hoffmann. Merge and Shrink Abstractions for Temporal Planning
Lihan Chen, Jingping Liu, Sihang Jiang, Chao Wang, Jiaqing Liang, Yanghua Xiao, Sheng Zhang and Rui Song. Crossword Puzzle Resolution via Monte Carlo Tree Search
Rebecca Eifler, Martim Brandao, Amanda Coles, Jeremy Frank and Joerg Hoffmann. Evaluating Plan-Property Dependencies: A Web-Based Platform and User Study
Thorsten Klößner, Marcel Steinmetz, Álvaro Torralba and Jörg Hoffmann. Pattern Selection Strategies for Pattern Databases in Probabilistic Planning
Justin Kottinger, Shaull Almagor and Morteza Lahijanian. Conflict-Based Search for Explainable Multi-Agent Path Finding
Franck Djeumou, Murat Cubuktepe, Craig Lennon and Ufuk Topcu. Task-Guided Inverse Reinforcement Learning Under Partial Information
Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing and Bo Xu. Learning Multi-agent Action Coordination via Electing First-move Agent
Shuli Hu, Daniel Harabor, Graeme Gange, Peter Stuckey and Nathan Sturtevant. Multi-Agent Path Finding with Temporal Jump Point Search
Jiachen Zhang, Giovanni Lo Bianco and Chris Beck. Solving Job-Shop Scheduling Problems with QUBO-based Specialized Hardware
Jin Yu, Haiyin Piao, Yaqing Hou, Li Mo, Xin Yang and Deyun Zhou. DOMA: Deep Smooth Trajectory Generation Learning for Real-time UAV Motion Planning
Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni and Sarit Kraus. Explaining Preference-driven Schedules: the EXPRES Framework
Simon Bøgh, Peter G. Jensen, Martin Kristjansen, Kim G. Larsen and Ulrik Nyman. Distributed Fleet Management in Noisy Environments via Model-Predictive Control
Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Wolfgang Kohlenbrein and Philipp Schrott-Kostwein. Reinforcement Learning of Dispatching Strategies for Large-Scale Industrial Scheduling
Thorsten Klößner, Florian Pommerening, Thomas Keller and Gabriele Röger. Cost Partitioning Heuristics for Stochastic Shortest Path Problems
Gabriel Cantareira, Gerard Canal and Rita Borgo. Actor-focused interactive visualization for AI Planning
Rui Wang, Kai Gao, Jingjin Yu and Kostas Bekris. Lazy Rearrangement Planning in Confined Spaces
Alvaro Velasquez, Brett Bissey, Lior Barak, Daniel Melcer, Andre Beckus, Ismail Alkhouri and George Atia. Multi-Agent Tree Search with Dynamic Reward Shaping
Yi Zheng, Srivatsan Ravi, Erik Kline, Sven Koenig and T. K. Satish Kumar. Conflict-Based Search for the Virtual Network Embedding Problem
Guru Koushik Senthil Kumar, Sandip Aine and Maxim Likhachev. Euclidean Distance-Optimal Post-Processing of Grid-Based Paths
Han Zhang, Oren Salzman, T. K. Satish Kumar, Ariel Felner, Carlos Hernández Ulloa and Sven Koenig. A*pex: Approximate and Efficient Multi-Objective Search on Graphs

Journal Presentation Track Papers

Christian Muise, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian Pearce and Liz Sonenberg. Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief
Menno Oudshoorn, Timo Koppenberg and Neil Yorke-Smith. Optimisation of Annual Planned Rail Maintenance
Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes and Bruno Lacerda. Congestion-Aware Policy Synthesis for Multirobot Systems
Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore and David E. Smith. Contrastive Explanations of Plans Through Model Restrictions
Nicola Gigante, Andrea Micheli, Angelo Montanari and Enrico Scala. Decidability and Complexity of Action-Based Temporal Planning over Dense Time
Sachini Weerawardhana, Mark Roberts and Darrell Whitley. Models of Intervention: Helping Agents and Human Users Avoid Undesirable Outcomes
Jorge A. Baier and Sheila McIlraith. Knowledge-based programs as building blocks for planning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano and Sheila A. McIlraith. Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning