| 2022 | A Compilation Based Approach to Finding Centroids and Minimum Covering States in Planning. Erez Karpas |
| 2022 | A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Roaming Delivery Locations. Quang Anh Pham, Minh Hoàng Hà, Duy Manh Vu, Huy Hoang Nguyen |
| 2022 | A Network Flow Interpretation of Robust Goal Legibility in Path Finding. Sara Bernardini, Fabio Fagnani, Santiago Franco, Alexandra Neacsu |
| 2022 | A*pex: Efficient Approximate Multi-Objective Search on Graphs. Han Zhang, Oren Salzman, T. K. Satish Kumar, Ariel Felner, Carlos Hernández Ulloa, Sven Koenig |
| 2022 | Active Grammatical Inference for Non-Markovian Planning. Noah Topper, George K. Atia, Ashutosh Trivedi, Alvaro Velasquez |
| 2022 | Actor-Focused Interactive Visualization for AI Planning. Gabriel Dias Cantareira, Gerard Canal, Rita Borgo |
| 2022 | Admissible Heuristics for Multi-Objective Planning. Florian Geißer, Patrik Haslum, Sylvie Thiébaux, Felipe W. Trevizan |
| 2022 | An End-to-End Automatic Cache Replacement Policy Using Deep Reinforcement Learning. Yang Zhou, Fang Wang, Zhan Shi, Dan Feng |
| 2022 | An Exact Algorithm for the Linear Tape Scheduling Problem. Valentin Honoré, Bertrand Simon, Frédéric Suter |
| 2022 | Analyzing the Efficacy of Flexible Execution, Replanning, and Plan Optimization for a Planetary Lander. Daniel Wang, Joseph A. Russino, Connor Basich, Steve A. Chien |
| 2022 | Anxiety-Sensitive Planning: From Formal Foundations to Algorithms and Applications. Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib |
| 2022 | Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution. Sriram Gopalakrishnan, Daniel Borrajo |
| 2022 | Beam Search: Faster and Monotonic. Sofia Lemons, Carlos Linares López, Robert C. Holte, Wheeler Ruml |
| 2022 | Best-First Width Search for Lifted Classical Planning. Augusto B. Corrêa, Jendrik Seipp |
| 2022 | Beyond Stars - Generalized Topologies for Decoupled Search. Daniel Gnad, Álvaro Torralba, Daniel Fiser |
| 2022 | Beyond Value: CheckList for Testing Inferences in Planning-Based RL. Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern |
| 2022 | Biased Exploration for Satisficing Heuristic Search. Ryo Kuroiwa, J. Christopher Beck |
| 2022 | Building Resource-Dependent Conditional Plans for an Earth Monitoring Satellite. Cédric Pralet, David Doose, Julien Anxionnat, Jérémie Pouly |
| 2022 | Classical Planning as QBF without Grounding. Irfansha Shaik, Jaco van de Pol |
| 2022 | Compiling HTN Plan Verification Problems into HTN Planning Problems. Daniel Höller, Julia Wichlacz, Pascal Bercher, Gregor Behnke |
| 2022 | Conflict-Based Search for Explainable Multi-Agent Path Finding. Justin Kottinger, Shaull Almagor, Morteza Lahijanian |
| 2022 | Conflict-Based Search for the Virtual Network Embedding Problem. Yi Zheng, Srivatsan Ravi, Erik Kline, Sven Koenig, T. K. Satish Kumar |
| 2022 | Conflict-Directed Diverse Planning for Logic-Geometric Programming. Joaquim Ortiz de Haro, Erez Karpas, Marc Toussaint, Michael Katz |
| 2022 | Cost Partitioning Heuristics for Stochastic Shortest Path Problems. Thorsten Klößner, Florian Pommerening, Thomas Keller, Gabriele Röger |
| 2022 | Crossword Puzzle Resolution via Monte Carlo Tree Search. Lihan Chen, Jingping Liu, Sihang Jiang, Chao Wang, Jiaqing Liang, Yanghua Xiao, Sheng Zhang, Rui Song |
| 2022 | DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning. Jin Yu, Haiyin Piao, Yaqing Hou, Li Mo, Xin Yang, Deyun Zhou |
| 2022 | Debugging a Policy: Automatic Action-Policy Testing in AI Planning. Marcel Steinmetz, Daniel Fiser, Hasan Ferit Eniser, Patrick Ferber, Timo P. Gros, Philippe Heim, Daniel Höller, Xandra Schuler, Valentin Wüstholz, Maria Christakis, Jörg Hoffmann |
| 2022 | Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem. Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst, Stijn de Looijer |
| 2022 | Detecting Unsolvability Based on Separating Functions. Remo Christen, Salomé Eriksson, Florian Pommerening, Malte Helmert |
| 2022 | Distributed Fleet Management in Noisy Environments via Model-Predictive Control. Simon Bøgh, Peter Gjøl Jensen, Martin Kristjansen, Kim Guldstrand Larsen, Ulrik Nyman |
| 2022 | Efficient Computation and Informative Estimation of h+ by Integer and Linear Programming. Masood Feyzbakhsh Rankooh, Jussi Rintanen |
| 2022 | Encoding Lifted Classical Planning in Propositional Logic. Daniel Höller, Gregor Behnke |
| 2022 | Euclidean Distance-Optimal Post-processing of Grid-Based Paths. Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev |
| 2022 | Evaluating Plan-Property Dependencies: A Web-Based Platform and User Study. Rebecca Eifler, Martim Brandao, Amanda Jane Coles, Jeremy Frank, Jörg Hoffmann |
| 2022 | Explaining Preference-Driven Schedules: The EXPRES Framework. Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni, Sarit Kraus |
| 2022 | Flexible FOND HTN Planning: A Complexity Analysis. Dillon Ze Chen, Pascal Bercher |
| 2022 | Generalized Linear Integer Numeric Planning. Xiaoyou Lin, Qingliang Chen, Liangda Fang, Quanlong Guan, Weiqi Luo, Kaile Su |
| 2022 | Hyper-Heuristics for Personnel Scheduling Domains. Lucas Kletzander, Nysret Musliu |
| 2022 | Improving Time-Dependent Contraction Hierarchies. Bojie Shen, Muhammad Aamir Cheema, Daniel Damir Harabor, Peter J. Stuckey |
| 2022 | Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning. Taylor Dohmen, Noah Topper, George K. Atia, Andre Beckus, Ashutosh Trivedi, Alvaro Velasquez |
| 2022 | Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari. Benjamin J. Ayton, Masataro Asai |
| 2022 | It Costs to Get Costs! A Heuristic-Based Scalable Goal Assignment Algorithm for Multi-Robot Systems. Aakash, Indranil Saha |
| 2022 | Iterative Depth-First Search for FOND Planning. Ramon Fraga Pereira, André Grahl Pereira, Frederico Messa, Giuseppe De Giacomo |
| 2022 | Joint Pricing and Matching for City-Scale Ride-Pooling. Sanket Shah, Meghna Lowalekar, Pradeep Varakantham |
| 2022 | LM-Cut Heuristics for Optimal Linear Numeric Planning. Ryo Kuroiwa, Alexander Shleyfman, J. Christopher Beck |
| 2022 | Lazy Rearrangement Planning in Confined Spaces. Rui Wang, Kai Gao, Jingjin Yu, Kostas E. Bekris |
| 2022 | Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits. Simon Ståhlberg, Blai Bonet, Hector Geffner |
| 2022 | Learning Multi-Agent Action Coordination via Electing First-Move Agent. Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu |
| 2022 | Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width. Dominik Drexler, Jendrik Seipp, Hector Geffner |
| 2022 | Learning to Estimate Search Progress Using Sequence of States. Matan Sudry, Erez Karpas |
| 2022 | Loopless Top-K Planning. Julian von Tschammer, Robert Mattmüller, David Speck |
| 2022 | Merge and Shrink Abstractions for Temporal Planning. Martim Brandao, Amanda Jane Coles, Andrew Coles, Jörg Hoffmann |
| 2022 | Multi-Agent Path Finding with Temporal Jump Point Search. Shuli Hu, Daniel Damir Harabor, Graeme Gange, Peter J. Stuckey, Nathan R. Sturtevant |
| 2022 | Multi-Agent Tree Search with Dynamic Reward Shaping. Alvaro Velasquez, Brett Bissey, Lior Barak, Daniel Melcer, Andre Beckus, Ismail Alkhouri, George K. Atia |
| 2022 | Neural Network Action Policy Verification via Predicate Abstraction. Marcel Vinzent, Marcel Steinmetz, Jörg Hoffmann |
| 2022 | Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. Patrick Ferber, Florian Geißer, Felipe W. Trevizan, Malte Helmert, Jörg Hoffmann |
| 2022 | New Refinement Strategies for Cartesian Abstractions. David Speck, Jendrik Seipp |
| 2022 | OFFICERS: Operational Framework for Intelligent Crime-and-Emergency Response Scheduling. Jonathan Chase, Siong Thye Goh, Tran Phong, Hoong Chuin Lau |
| 2022 | On Speeding Up Methods for Identifying Redundant Actions in Plans. Jakub Med, Lukás Chrpa |
| 2022 | On the Complexity of Heuristic Synthesis for Satisficing Classical Planning: Potential Heuristics and Beyond. Malte Helmert, Silvan Sievers, Alexander Rovner, Augusto B. Corrêa |
| 2022 | On the Expressive Power of Planning Formalisms in Conjunction with LTL. Songtuan Lin, Pascal Bercher |
| 2022 | Operator-Potentials in Symbolic Search: From Forward to Bi-directional Search. Daniel Fiser, Álvaro Torralba, Jörg Hoffmann |
| 2022 | Optimal Mixed Strategies for Cost-Adversarial Planning Games. Rostislav Horcík, Álvaro Torralba, Pavel Rytír, Lukás Chrpa, Stefan Edelkamp |
| 2022 | Optimising the Stability in Plan Repair via Compilation. Alessandro Saetti, Enrico Scala |
| 2022 | Pattern Selection Strategies for Pattern Databases in Probabilistic Planning. Thorsten Klößner, Marcel Steinmetz, Álvaro Torralba, Jörg Hoffmann |
| 2022 | Planning Satellite Swarm Measurements for Earth Science Models: Comparing Constraint Processing and MILP Methods. Richard Levinson, Samantha Niemoeller, Sreeja Nag, Vinay Ravindra |
| 2022 | Planning for Risk-Aversion and Expected Value in MDPs. Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes |
| 2022 | Preface. Sylvie Thiébaux, William Yeoh, Akshat Kumar, Pradeep Varakantham |
| 2022 | Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022, Singapore (virtual), June 13-24, 2022 Akshat Kumar, Sylvie Thiébaux, Pradeep Varakantham, William Yeoh |
| 2022 | RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati |
| 2022 | Reinforcement Learning Approach to Solve Dynamic Bi-objective Police Patrol Dispatching and Rescheduling Problem. Waldy Joe, Hoong Chuin Lau, Jonathan Pan |
| 2022 | Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz |
| 2022 | Reinforcement Learning of Dispatching Strategies for Large-Scale Industrial Scheduling. Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Wolfgang Kohlenbrein, Philipp Schrott-Kostwein |
| 2022 | Resolving Misconceptions about the Plans of Agents via Theory of Mind. Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith |
| 2022 | Simple Temporal Networks for Improvisational Teamwork. Malia Morgan, Julianna Schalkwyk, Huaxiaoyue Wang, Hannah Davalos, Ryan Martinez, Vibha Rohilla, James Boerkoel |
| 2022 | Solving Job-Shop Scheduling Problems with QUBO-Based Specialized Hardware. Jiachen Zhang, Giovanni Lo Bianco, J. Christopher Beck |
| 2022 | Solving Simultaneous Target Assignment and Path Planning Efficiently with Time-Independent Execution. Keisuke Okumura, Xavier Défago |
| 2022 | Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling. Zheyuan Wang, Matthew C. Gombolay |
| 2022 | Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics. Geert L. J. Pingen, Christian R. van Ommeren, Cornelis J. van Leeuwen, Ruben W. Fransen, Tijmen Elfrink, Yorick C. de Vries, Janarthanan Karunakaran, Emir Demirovic, Neil Yorke-Smith |
| 2022 | Task-Guided Inverse Reinforcement Learning under Partial Information. Franck Djeumou, Murat Cubuktepe, Craig Lennon, Ufuk Topcu |
| 2022 | TempAMLSI: Temporal Action Model Learning Based on STRIPS Translation. Maxence Grand, Damien Pellier, Humbert Fiorino |
| 2022 | The Power of Reformulation: From Validation to Planning in PDDL+. Francesco Percassi, Enrico Scala, Mauro Vallati |
| 2022 | Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein |
| 2022 | Uniform Machine Scheduling with Predictions. Tianming Zhao, Wei Li, Albert Y. Zomaya |
| 2022 | Verifiable and Compositional Reinforcement Learning Systems. Cyrus Neary, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu |
| 2022 | VizXP: A Visualization Framework for Conveying Explanations to Users in Model Reconciliation Problems. Ashwin Kumar, Stylianos Loukas Vasileiou, Melanie Bancilhon, Alvitta Ottley, William Yeoh |
| 2022 | Who Needs These Operators Anyway: Top Quality Planning with Operator Subset Criteria. Michael Katz, Shirin Sohrabi |