| 2021 | A Closer Look at Causal Links: Complexity Results for Delete-Relaxation in Partial Order Causal Link (POCL) Planning. Pascal Bercher |
| 2021 | A Competitive Analysis of Online Multi-Agent Path Finding. Hang Ma |
| 2021 | A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala |
| 2021 | A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo |
| 2021 | Abstraction-Guided Policy Recovery from Expert Demonstrations. Canmanie T. Ponnambalam, Frans A. Oliehoek, Matthijs T. J. Spaan |
| 2021 | Approximate Bi-Criteria Search by Efficient Representation of Subsets of the Pareto-Optimal Frontier. Boris Goldin, Oren Salzman |
| 2021 | Approximate Novelty Search. Anubhav Singh, Nir Lipovetzky, Miquel Ramírez, Javier Segovia-Aguas |
| 2021 | Automated Design of fMRI Paradigms. Katherine Bianchini Esper, Felipe Meneguzzi |
| 2021 | Automated Production Scheduling for Artificial Teeth Manufacturing. Felix Winter, Christoph Mrkvicka, Nysret Musliu, Jakob Preininger |
| 2021 | Automatic Instance Generation for Classical Planning. Álvaro Torralba, Jendrik Seipp, Silvan Sievers |
| 2021 | Autonomous Building of Structures in Unstructured Environments via AI Planning. Jamie O. Roberts, Santiago Franco, Adam A. Stokes, Sara Bernardini |
| 2021 | Blind Decision Making: Reinforcement Learning with Delayed Observations. Mridul Agarwal, Vaneet Aggarwal |
| 2021 | Block Compression and Invariant Pruning for SAT-based Totally-Ordered HTN Planning. Gregor Behnke |
| 2021 | Compositional Approach to Translate LTLf/LDLf into Deterministic Finite Automata. Giuseppe De Giacomo, Marco Favorito |
| 2021 | Computing Opportunities to Augment Plans for Novel Replanning during Execution. Daniel Borrajo, Manuela Veloso |
| 2021 | Conflict-Based Increasing Cost Search. Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner, Han Zhang, Jiaoyang Li, T. K. Satish Kumar |
| 2021 | Conflict-Free Multi-Agent Meeting. Dor Atzmon, Shahar Idan Freiman, Oscar Epshtein, Oran Shichman, Ariel Felner |
| 2021 | Contracting and Compressing Shortest Path Databases. Bojie Shen, Muhammad Aamir Cheema, Daniel Damir Harabor, Peter J. Stuckey |
| 2021 | Dantzig-Wolfe Decomposition for Cost Partitioning. Florian Pommerening, Thomas Keller, Valentina Halasi, Jendrik Seipp, Silvan Sievers, Malte Helmert |
| 2021 | Data-Driven Decision-Theoretic Planning using Recurrent Sum-Product-Max Networks. Hari Teja Tatavarti, Prashant Doshi, Layton Hayes |
| 2021 | Decentralized Refinement Planning and Acting. Ruoxi Li, Sunandita Patra, Dana S. Nau |
| 2021 | DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal |
| 2021 | Delete-Relaxation Heuristics for Lifted Classical Planning. Augusto B. Corrêa, Guillem Francès, Florian Pommerening, Malte Helmert |
| 2021 | Distributed Fair Scheduling for Information Exchange in Multi-Agent Systems. Majid Raeis, S. Jamaloddin Golestani |
| 2021 | E2Coop: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms. Shuangyao Huang, Haibo Zhang, Zhiyi Huang |
| 2021 | Endomorphisms of Lifted Planning Problems. Rostislav Horcík, Daniel Fiser |
| 2021 | Explaining Path Plan Optimality: Fast Explanation Methods for Navigation Meshes Using Full and Incremental Inverse Optimization. Martim Brandão, Amanda Jane Coles, Daniele Magazzeni |
| 2021 | Exploiting Cyclic Dependencies in Landmark Heuristics. Clemens Büchner, Thomas Keller, Malte Helmert |
| 2021 | Flexible FOND Planning with Explicit Fairness Assumptions. Ivan D. Rodriguez, Blai Bonet, Sebastian Sardiña, Hector Geffner |
| 2021 | Fully Observable Nondeterministic HTN Planning - Formalisation and Complexity Results. Dillon Ze Chen, Pascal Bercher |
| 2021 | GRAND-VISION: An Intelligent System for Optimized Deployment Scheduling of Law Enforcement Agents. Jonathan Chase, Tran Phong, Kang Long, Tony Le, Hoong Chuin Lau |
| 2021 | Generalized Planning as Heuristic Search. Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson |
| 2021 | Guiding Robot Exploration in Reinforcement Learning via Automated Planning. Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang |
| 2021 | Hierarchical Freespace Planning for Navigation in Unfamiliar Worlds. Raj Korpan, Susan L. Epstein |
| 2021 | Hierarchical Width-Based Planning and Learning. Miquel Junyent, Vicenç Gómez, Anders Jonsson |
| 2021 | Improving AlphaZero Using Monte-Carlo Graph Search. Johannes Czech, Patrick Korus, Kristian Kersting |
| 2021 | In-Station Train Dispatching: A PDDL+ Planning Approach. Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto |
| 2021 | Integrating Knowledge Compilation with Reinforcement Learning for Routes. Jiajing Ling, Kushagra Chandak, Akshat Kumar |
| 2021 | Iterative-deepening Bidirectional Heuristic Search with Restricted Memory. Shahaf S. Shperberg, Steven Danishevski, Ariel Felner, Nathan R. Sturtevant |
| 2021 | Jump Point Search with Temporal Obstacles. Shuli Hu, Daniel Damir Harabor, Graeme Gange, Peter J. Stuckey, Nathan R. Sturtevant |
| 2021 | Knowledge Compilation for Nondeterministic Action Languages. Sergej Scheck, Alexandre Niveau, Bruno Zanuttini |
| 2021 | LM-cut and Operator Counting Heuristics for Optimal Numeric Planning with Simple Conditions. Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, J. Christopher Beck |
| 2021 | Learning Heuristic Selection with Dynamic Algorithm Configuration. David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer |
| 2021 | Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL. Arambam James Singh, Akshat Kumar, Hoong Chuin Lau |
| 2021 | Loop Detection in the PANDA Planning System. Daniel Höller, Gregor Behnke |
| 2021 | Meta Reinforcement Learning for Heuristic Planing. Ricardo Luna Gutierrez, Matteo Leonetti |
| 2021 | Multiple Plans are Better than One: Diverse Stochastic Planning. Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu |
| 2021 | Non-Deterministic Conformant Planning Using a Counterexample-Guided Incremental Compilation to Classical Planning. Enrico Scala, Alban Grastien |
| 2021 | OMCoRP: An Online Mechanism for Competitive Robot Prioritization. Sankar Narayan Das, Swaprava Nath, Indranil Saha |
| 2021 | On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away. Luigi Bonassi, Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala |
| 2021 | On the Compilability and Expressive Power of State-Dependent Action Costs. David Speck, David Borukhson, Robert Mattmüller, Bernhard Nebel |
| 2021 | Online Hedge Reservation for Diverse Plans and Competitive Analysis. Binghan Wu, Wei Bao, Dong Yuan, Bing Zhou |
| 2021 | Online Saturated Cost Partitioning for Classical Planning. Jendrik Seipp |
| 2021 | PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments. Sung-Kyun Kim, Amanda Bouman, Gautam Salhotra, David D. Fan, Kyohei Otsu, Joel Burdick, Ali-Akbar Agha-Mohammadi |
| 2021 | Pattern Databases for Goal-Probability Maximization in Probabilistic Planning. Thorsten Klößner, Jörg Hoffmann, Marcel Steinmetz, Álvaro Torralba |
| 2021 | Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments. Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis |
| 2021 | Privacy-Preserving Algorithm for Decoupling of Multi-Agent Plans with Uncertainty. Yuening Zhang, Brian C. Williams |
| 2021 | Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021 Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo |
| 2021 | RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli |
| 2021 | Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning. Macheng Shen, Jonathan P. How |
| 2021 | Rule-based Shielding for Partially Observable Monte-Carlo Planning. Giulio Mazzi, Alberto Castellini, Alessandro Farinelli |
| 2021 | S*: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding. Kenny Chour, Sivakumar Rathinam, Ramamoorthi Ravi |
| 2021 | Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge. Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig |
| 2021 | Scheduling Stochastic Jobs - Complexity and Approximation Algorithms. Liangde Tao, Lin Chen, Guochuan Zhang |
| 2021 | Scheduling with Complete Multipartite Incompatibility Graph on Parallel Machines. Tytus Pikies, Krzysztof Turowski, Marek Kubale |
| 2021 | Situated Temporal Planning Using Deadline-aware Metareasoning. Shahaf S. Shperberg, Andrew Coles, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony |
| 2021 | Speeding Up Search-Based Motion Planning using Expansion Delay Heuristics. Jasmeet Kaur, Ishani Chatterjee, Maxim Likhachev |
| 2021 | Subset-Saturated Transition Cost Partitioning. Dominik Drexler, Jendrik Seipp, David Speck |
| 2021 | Task-Aware Waypoint Sampling for Robotic Planning. Sarah Keren, Gerard Canal, Michael Cashmore |
| 2021 | Temporal Reasoning with Kinodynamic Networks. Han Zhang, Neelesh Tiruviluamala, Sven Koenig, T. K. Satish Kumar |
| 2021 | The Consistent Case in Bidirectional Search and a Bucket-to-Bucket Algorithm as a Middle Ground between Front-to-End and Front-to-Front. Vidal Alcázar |
| 2021 | Total Completion Time Minimization for Scheduling with Incompatibility Cliques. Klaus Jansen, Alexandra Lassota, Marten Maack, Tytus Pikies |
| 2021 | Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstacles. Konstantin S. Yakovlev, Anton Andreychuk |
| 2021 | Translating Totally Ordered HTN Planning Problems to Classical Planning Problems Using Regular Approximation of Context-Free Languages. Daniel Höller |
| 2021 | Translations from Discretised PDDL+ to Numeric Planning. Francesco Percassi, Enrico Scala, Mauro Vallati |
| 2021 | Verifying Plans and Scripts for Robotics Tasks Using Performance Level Profiles. Alexander Kovalchuk, Shashank Shekhar, Ronen I. Brafman |
| 2021 | Width-Based Backward Search. Chao Lei, Nir Lipovetzky |
| 2021 | vPlanSim: An Open Source Graphical Interface for the Visualisation and Simulation of AI Systems. Jamie O. Roberts, Georgios Mastorakis, Brad Lazaruk, Santiago Franco, Adam A. Stokes, Sara Bernardini |