| 2023 | A Best-First Search Algorithm for FOND Planning and Heuristic Functions to Optimize Decompressed Solution Size. Frederico Messa, André Grahl Pereira |
| 2023 | A Column Generation Approach to Correlated Simple Temporal Networks. Andrew Murray, Ashwin Arulselvan, Michael Cashmore, Marc Roper, Jeremy Frank |
| 2023 | A Constraint Programming Solution to the Guillotine Rectangular Cutting Problem. Sergey Polyakovskiy, Peter J. Stuckey |
| 2023 | A Planning Approach to Repair Domains with Incomplete Action Effects. Alba Gragera, Raquel Fuentetaja, Ángel García Olaya, Fernando Fernández |
| 2023 | A Theory of Merge-and-Shrink for Stochastic Shortest Path Problems. Thorsten Klößner, Álvaro Torralba, Marcel Steinmetz, Silvan Sievers |
| 2023 | Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring. Merlijn Krale, Thiago D. Simão, Nils Jansen |
| 2023 | Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. Yuening Zhang, Brian C. Williams |
| 2023 | An Efficient Hybrid Genetic Algorithm for the Quadratic Traveling Salesman Problem. Quang Anh Pham, Hoong Chuin Lau, Minh Hoàng Hà, Lam Vu |
| 2023 | An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming. Pierre Tassel, Martin Gebser, Konstantin Schekotihin |
| 2023 | Approximating the Value of Collaborative Team Actions for Efficient Multiagent Navigation in Uncertain Graphs. Martina Stadler, Jacopo Banfi, Nicholas Roy |
| 2023 | Automated Planning to Prioritise Digital Forensics Investigation Cases Containing Indecent Images of Children. Saad Khan, Simon Parkinson, Monika Roopak, Rachel Armitage, Andrew Barlow |
| 2023 | Automatic Metamorphic Test Oracles for Action-Policy Testing. Jan Eisenhut, Álvaro Torralba, Maria Christakis, Jörg Hoffmann |
| 2023 | Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov |
| 2023 | Beyond Pairwise Reasoning in Multi-Agent Path Finding. Bojie Shen, Zhe Chen, Jiaoyang Li, Muhammad Aamir Cheema, Daniel Damir Harabor, Peter J. Stuckey |
| 2023 | Binary Branching Multi-Objective Conflict-Based Search for Multi-Agent Path Finding. Zhongqiang Ren, Jiaoyang Li, Han Zhang, Sven Koenig, Sivakumar Rathinam, Howie Choset |
| 2023 | Can They Come Together? A Computational Complexity Analysis of Conjunctive Possible Effects of Compound HTN Planning Tasks. Conny Olz, Pascal Bercher |
| 2023 | Combining Clinical and Spatial Constraints into Temporal Planning to Personalize Physical Rehabilitation. Alessandro Umbrico, Marco Benadduci, Roberta Bevilacqua, Amedeo Cesta, Francesca Fracasso, Elvira Maranesi, Andrea Orlandini, Gabriella Cortellessa |
| 2023 | Combining Heuristic Search and Linear Programming to Compute Realistic Financial Plans. Alberto Pozanco, Kassiani Papasotiriou, Daniel Borrajo, Manuela Veloso |
| 2023 | Computing Domain Abstractions for Optimal Classical Planning with Counterexample-Guided Abstraction Refinement. Raphael Kreft, Clemens Büchner, Silvan Sievers, Malte Helmert |
| 2023 | Convexity Hierarchies in Grid Networks. Johannes Blum, Ruoying Li, Sabine Storandt |
| 2023 | Cost Splitting for Multi-Objective Conflict-Based Search. Cheng Ge, Han Zhang, Jiaoyang Li, Sven Koenig |
| 2023 | Deadline-Aware Multi-Agent Tour Planning. Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph W. Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig |
| 2023 | Deceptive Reinforcement Learning in Model-Free Domains. Alan Lewis, Tim Miller |
| 2023 | Domain-Independent Dynamic Programming: Generic State Space Search for Combinatorial Optimization. Ryo Kuroiwa, J. Christopher Beck |
| 2023 | Dynamic Weight Setting for Personnel Scheduling with Many Objectives. Lucas Kletzander, Nysret Musliu |
| 2023 | Efficient Evaluation of Large Abstractions for Decoupled Search: Merge-and-Shrink and Symbolic Pattern Databases. Daniel Gnad, Silvan Sievers, Álvaro Torralba |
| 2023 | Efficient Multi-Query Bi-Objective Search via Contraction Hierarchies. Han Zhang, Oren Salzman, Ariel Felner, T. K. Satish Kumar, Carlos Hernández Ulloa, Sven Koenig |
| 2023 | Efficient Reasoning about Infeasible One Machine Sequencing. Raúl Mencía, Carlos Mencía, João Marques-Silva |
| 2023 | Exact Anytime Multi-Agent Path Finding Using Branch-and-Cut-and-Price and Large Neighborhood Search. Edward Lam, Daniel Damir Harabor, Peter J. Stuckey, Jiaoyang Li |
| 2023 | Explainable Goal Recognition: A Framework Based on Weight of Evidence. Abeer Alshehri, Tim Miller, Mor Vered |
| 2023 | Exploiting Geometric Constraints in Multi-Agent Pathfinding. Dor Atzmon, Sara Bernardini, Fabio Fagnani, David L. Fairbairn |
| 2023 | Exploration Policies for On-the-Fly Controller Synthesis: A Reinforcement Learning Approach. Tomás Delgado, Marco Sánchez Sorondo, Víctor A. Braberman, Sebastián Uchitel |
| 2023 | Falsification of Cyber-Physical Systems Using PDDL+ Planning. Diego Aineto, Enrico Scala, Eva Onaindia, Ivan Serina |
| 2023 | Fast and Robust Resource-Constrained Scheduling with Graph Neural Networks. Florent Teichteil-Königsbuch, Guillaume Povéda, Guillermo González de Garibay Barba, Tim Luchterhand, Sylvie Thiébaux |
| 2023 | Finding Matrix Multiplication Algorithms with Classical Planning. David Speck, Paul Höft, Daniel Gnad, Jendrik Seipp |
| 2023 | Fixing Plans for PDDL+ Problems: Theoretical and Practical Implications. Francesco Percassi, Enrico Scala, Mauro Vallati |
| 2023 | Frontmatter. |
| 2023 | Generalizing Action Justification and Causal Links to Policies. Sarath Sreedharan, Christian Muise, Subbarao Kambhampati |
| 2023 | Goal Recognition as a Deep Learning Task: The GRNet Approach. Mattia Chiari, Alfonso Emilio Gerevini, Francesco Percassi, Luca Putelli, Ivan Serina, Matteo Olivato |
| 2023 | Goal Recognition with Timing Information. Chenyuan Zhang, Charles Kemp, Nir Lipovetzky |
| 2023 | Grounding Planning Tasks Using Tree Decompositions and Iterated Solving. Augusto B. Corrêa, Markus Hecher, Malte Helmert, Davide Mario Longo, Florian Pommerening, Stefan Woltran |
| 2023 | Heuristic Search for Physics-Based Problems: Angry Birds in PDDL+. Wiktor Piotrowski, Yoni Sher, Sachin Grover, Roni Stern, Shiwali Mohan |
| 2023 | Imitation Improvement Learning for Large-Scale Capacitated Vehicle Routing Problems. Viet The Bui, Tien Anh Mai |
| 2023 | Improving Zero-Shot Coordination Performance Based on Policy Similarity. Lebin Yu, Yunbo Qiu, Quanming Yao, Xudong Zhang, Jian Wang |
| 2023 | Landmark Progression in Heuristic Search. Clemens Büchner, Thomas Keller, Salomé Eriksson, Malte Helmert |
| 2023 | Learning Local Heuristics for Search-Based Navigation Planning. Rishi Veerapaneni, Muhammad Suhail Saleem, Maxim Likhachev |
| 2023 | Lifted Stackelberg Planning. Philipp Sauer, Marcel Steinmetz, Robert Künnemann, Jörg Hoffmann |
| 2023 | Model Checking for Adversarial Multi-Agent Reinforcement Learning with Reactive Defense Methods. Dennis Gross, Christoph Schmidl, Nils Jansen, Guillermo A. Pérez |
| 2023 | Moving Trains like Pebbles: A Feasibility Study on Tree Yards. Issa K. Hanou, Mathijs Michiel de Weerdt, Jesse Mulderij |
| 2023 | Multi Agent Path Finding under Obstacle Uncertainty. Bar Shofer, Guy Shani, Roni Stern |
| 2023 | On Partial Satisfaction Planning with Total-Order HTNs. Gregor Behnke, David Speck, Michael Katz, Shirin Sohrabi |
| 2023 | On Using Action Inheritance and Modularity in PDDL Domain Modelling. Alan Lindsay |
| 2023 | Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer |
| 2023 | Operator Pruning Using Lifted Mutex Groups via Compilation on Lifted Level. Daniel Fiser |
| 2023 | Optimality Certificates for Classical Planning. Esther Mugdan, Remo Christen, Salomé Eriksson |
| 2023 | Parallel Batch Processing for the Coating Problem. Matthias Horn, Emir Demirovic, Neil Yorke-Smith |
| 2023 | Planning for Attacker Entrapment in Adversarial Settings. Brittany Cates, Anagha Kulkarni, Sarath Sreedharan |
| 2023 | Planning for Automated Testing of Implicit Constraints in Behavior Trees. Uwe Köckemann, Daniele Calisi, Guglielmo Gemignani, Jennifer Renoux, Alessandro Saffiotti |
| 2023 | Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How. Dhruv Saxena, Maxim Likhachev |
| 2023 | Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic. Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala |
| 2023 | Planning in Multi-Agent Domains with Untruthful Announcements. Loc Pham, Tran Cao Son, Enrico Pontelli |
| 2023 | Planning over Integers: Compilations and Undecidability. Daniel Gnad, Malte Helmert, Peter Jonsson, Alexander Shleyfman |
| 2023 | Planning with Multi-Agent Belief Using Justified Perspectives. Guang Hu, Tim Miller, Nir Lipovetzky |
| 2023 | Planning with Multiple Action-Cost Estimates. Eyal Weiss, Gal A. Kaminka |
| 2023 | Priority-Based Search for the Virtual Network Embedding Problem. Yi Zheng, Hang Ma, Sven Koenig, Erik Kline, T. K. Satish Kumar |
| 2023 | Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, Prague, Czech Republic, July 8-13, 2023 Sven Koenig, Roni Stern, Mauro Vallati |
| 2023 | Reinforcement Learning for Omega-Regular Specifications on Continuous-Time MDP. Amin Falah, Shibashis Guha, Ashutosh Trivedi |
| 2023 | Robust Metric Hybrid Planning in Stochastic Nonlinear Domains Using Mathematical Optimization. Buser Say |
| 2023 | Runahead A*: Speculative Parallelism for A* with Slow Expansions. Mohammad Bakhshalipour, Mohamad Qadri, Dominic Guri, Seyed Borna Ehsani, Maxim Likhachev, Phillip B. Gibbons |
| 2023 | Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects. Siow Meng Low, Akshat Kumar, Scott Sanner |
| 2023 | Safety Shielding under Delayed Observation. Filip Cano Córdoba, Alexander Palmisano, Martin Fränzle, Roderick Bloem, Bettina Könighofer |
| 2023 | Sensitivity Analysis for Dynamic Control of PSTNs with Skewed Distributions. Rosy Chen, Yiran Ma, Siqi Wu, James C. Boerkoel Jr. |
| 2023 | Solving Domain-Independent Dynamic Programming Problems with Anytime Heuristic Search. Ryo Kuroiwa, J. Christopher Beck |
| 2023 | Solving the Multi-Choice Two Dimensional Shelf Strip Packing Problem with Time Windows. Matthias Horn, Emir Demirovic, Neil Yorke-Smith |
| 2023 | Symmetry Detection and Breaking in Linear Cost-Optimal Numeric Planning. Alexander Shleyfman, Ryo Kuroiwa, J. Christopher Beck |
| 2023 | Task Phasing: Automated Curriculum Learning from Demonstrations. Vaibhav Bajaj, Guni Sharon, Peter Stone |
| 2023 | The Small Solution Hypothesis for MAPF on Strongly Connected Directed Graphs Is True. Bernhard Nebel |
| 2023 | Timed Partial Order Inference Algorithm. Kandai Watanabe, Georgios Fainekos, Bardh Hoxha, Morteza Lahijanian, Danil V. Prokhorov, Sriram Sankaranarayanan, Tomoya Yamaguchi |
| 2023 | Understanding Natural Language in Context. Avichai Levy, Erez Karpas |
| 2023 | Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh |
| 2023 | W-restrained Bidirectional Bounded-Suboptimal Heuristic Search. Dor Atzmon, Shahaf S. Shperberg, Netanel Sabah, Ariel Felner, Nathan R. Sturtevant |