Each publication is accompanied by a code in which the first letter denotes the type of research output. “C” stands for Conference, “E” for Extended Abstract, “J” for Journal, “BC” for Book Chapter and “W” for Workshop.
The most important publications are shown in bold. Each conference publication is accompanied by the conference rank according to http://portal.core.edu.au/conf-ranks/ (if applicable). Each journal publication is accompanied by the journal rank according to https://www.scimagojr.com/.
Concerning Conferences A* = Exceptional (Flagship conferences), A = Excellent and B = Good to Very Good. Concerning journals Q1, Q2, Q3, and Q4, they mean the first, second, third, and fourth quartiles, respectively.
For a summary of the publications about PDDL+ consult this page, please.
2025
[C23] Bonassi, L., Percassi, F. & Scala, E., “Towards Practical Classical Planning Compilations of Numeric Planning” In Proc. of AAAI 🇺🇸. [Rank A*]. (Speaker).
[C24] Percassi, F., Scala, E., & Vallati, M., “On the Notion of Plan Quality for PDDL+” In Proc. of ICAPS 🇦🇺. [Rank A*].
C[25] Cardellini, M., Percassi, F., Maratea, M. & Vallati, M., “Initial Condition Retrieving for Hybrid and Numeric Planning Problems” In Proc. of ICAPS 🇦🇺. [Rank A*].
C[26] Percassi, F. & Vallati, M., “Automated Planning for Urban Traffic Control with LLM-Generated Configurations” In Proc. of FLAIRS 🇺🇸.
C[27] Percassi, F., Castellanos, S., Rombourg, R. & Vallati, M., “An Approach to Quantify Plans Robustness in Real-world Applications” In Proc. of IJCAI 🇨🇦. [Rank A*].
BC[1] Bhatnagar-Knox, S., Castellanos-Paez, S., Guo R., Percassi, F., Robinson, M. & Vallati, M. “Artificial Intelligence Applications: Case Studies from Challenging Domains, Renewable Energy Transition with Artificial Intelligence: Challenge-driven Solutions”, Wiley, 2025.
E[7] Castellanos, S., Percassi, F. & Vallati, M., “Exploring the Trade-off Between Flexible and Deployable Models for PDDL+ Urban Traffic Control” In Proc. of SoCS 🏴. [Rank B].
E[8] Bonassi, L., Percassi, F. & Scala, E., “BLAST: Bit-Blasting Numbers for Classical Planning” In Proc. of SoCS 🏴. [Rank B].
C[28] Castellanos, S., Percassi, F. & Vallati, M., “Improved Models for Automated Planning-based Urban Traffic Control” In Proc. of MT-ITS.
2024
[C16] Gerevini, A., Percassi, F., & Scala, E., “An Effective Polynomial Technique for Compiling Conditional Effects Away” In Proc. of AAAI 🇨🇦. [Rank A*]. (Speaker).
[C17] El Kouaiti, A., Percassi, F., Saetti, A., McCluskey, L. & Vallati, M., “PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation” In Proc. of ICAPS 🇨🇦. [Rank A*]. (Speaker).
[C18] Cardellini, M., Maratea, M., Percassi, F., Scala, E. & Vallati, M., “Taming Discretised PDDL+ through Multiple Discretisations” In Proc. of ICAPS 🇨🇦. [Rank A*]. (Conference version of [W9]).
[C19] Percassi, F., Scala, E. & Gerevini, A., “Optimised Variants of Polynomial Compilation for Conditional Effects in Classical Planning” In Proc. of SoCS 🇨🇦. [Rank B]. (Speaker).
[C20] Percassi, F. & Vallati, M., A., “Leveraging AI Planning in a What-if Analysis Framework for Assessing Traffic Signal Strategies” In Proc. of IEEE ITSC 🇨🇦. (Speaker).
[C21] Guo, R., Percassi, F. & Vallati, M., “Optimising Traffic Flow Through Synchronised Signal Configurations Along Urban Corridors” In Proc. of IEEE ITSC 🇨🇦. (Speaker).
[C22] Alarnaouti, D., Percassi, F. & Vallati, M., “An Extensive Empirical Analysis of Macro-actions for Numeric Planning” In Proc. of AixiA 🇮🇹.
[E4] El Kouaiti, A., Percassi, F., Saetti, A., McCluskey, L. & Vallati, M., “Deployable yet Effective Traffic Signal Optimisation via Automated Planning” In Proc. of SoCS 🇨🇦. [Rank B]. (Extended Abstract of [C17]).
[E5] Cardellini, M., Maratea, M., Percassi, F., Scala, E. & Vallati, M., “Taming Discretised PDDL+ through Multiple Discretisations” In Proc. of SoCS 🇨🇦. [Rank B].
Extended Abstract of [C18].
[E6] El Kouaiti, A., Percassi, F., Saetti, A., McCluskey, L. & Vallati, M., “The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis On a Real-World Case Study” In Proc. of FLAIRS 2024 🇺🇸.
[W10] El Kouaiti, A., Percassi, F., Saetti, A., & Vallati, M., “Shall You Use that PDDL+ Language Feature? An Empirical Analysis on a Real-world Case Study” The KEPS Workshop hosted at ICAPS 🇨🇦.
[W11] El Kouaiti, A., Percassi, F., Saetti, A., McCluskey, L. & Vallati, M., “PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation” IPS Workshop hosted at AixiA 🇮🇹.
Reprise of [C17].
2023
[J2] Percassi, F., Scala, E., & Vallati, M. “A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning” In Journal of Artificial Intelligence Research (JAIR). [Rank Q1]. Journal extended version of C8.
[J3] Gerevini A., Lipovetzky, N., Percassi, F., Saetti, A. & Serina, I. “Width-Based Search for Multi Agent Privacy-Preserving Planning” In Artificial Intelligence Journal (AIJ). [Rank Q1]. Journal extended version of C2-C3-C5.
[C11] Percassi, F., Scala, E., & Vallati, M. “Fixing Plans for PDDL+ Problems: Theoretical and Practical Implications” Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, ICAPS 2023 🇨🇿. [Rank A*].
Speaker.
[C12] Chiari, M., Gerevini, A., Percassi, F., Putelli, L., Olivato, M. & Serina, I. “Goal Recognition as a Deep Learning Task: the GRNet Approach” In Proc. of ICAPS 🇨🇿. [Rank A*].
Conference version of [A1].
[C13] Percassi, F., Bhatnagar, S., Guo, R., McCabe, K., McCluskey, L. & Vallati, M., An Efficient “Heuristic for AI-based Urban Traffic Control” in Proc. of MT-ITS 🇫🇷.
[C14] Bhatnagar, S., Guo, R., McCabe, K., McCluskey, L., Percassi, F., & Vallati, M. “Automated Planning for Generating and Simulating Traffic Signal Strategies” In Proc. of IJCAI 🇲🇴 🇨🇳. [Rank A*].
[E3] Percassi, F., Scala, E., & Vallati, M., “On the Notion of Fixability of PDDL+ Plans (Extended Abstract)” In Proceedings of the Sixteenth International Symposium on Combinatorial Search, SoCS 2023 🇨🇿. [Rank B].
Speaker.
[W9] Cardellini, M., Maratea, Percassi, F., M., Scala & E., Vallati, M. “Taming Discretised PDDL+ through Multiple Discretisations”, In Proceedings of The Knowledge Engineering for Planning and Scheduling Workshop, KEPS 2023 hosted at ICAPS 2023 🇨🇿.
[C15] Percassi, F., Scala, E., & Vallati, M., “A Structure-Sensitive Translation from Hybrid to Numeric Planning” In Proceedings of Twenty-Second International Conference of the Italian Association for Artificial Intelligence, AixiA 2023 🇮🇹.
Speaker.
2022
[C10] Percassi, F., Scala, E., & Vallati, M., “The Power of Reformulation: From Validation to Planning in PDDL+” In Proceedings of the Thirty-second International Conference on Automated Planning and Scheduling, ICAPS 2022 🇸🇬. [Rank A*].
Speaker.
[E1] Percassi, F., Scala, E., & Vallati, M., “On the Reformulation of Discretised PDDL+ to Numeric Planning (Extended Abstract)” In Proceedings of the Fifteenth International Symposium on Combinatorial Search, SoCS 2022 🇦🇹. [Rank B].
[E2] Gerevini A.E., Lipovetzky N., Percassi F., Saetti A. & Serina I., “On the use of Width-based search for Multi Agent Privacy-preserving Planning (Extended Abstract)” In Proceedings of the Fifteenth International Symposium on Combinatorial Search, SoCS 2022 🇦🇹. [Rank B].
[W6] Percassi, F., Scala, E., & Vallati, M., “On Translation-Based Approaches from Discrete PDDL+ to Numeric Planning.” In Proceedings of Knowledge Engineering for Planning and Scheduling, KEPS 2022 hosted at ICAPS 2022 🇸🇬.
Reprise of [W5];
Speaker.
[W7] Percassi, F., Saha S., “QoS-Aware Approximate Real-time Tasks Execution on Multiprocessor Systems using PDDL+ Planning.” In Proceedings of Knowledge Engineering for Planning and Scheduling, KEPS 2022 hosted at ICAPS 2022) 🇸🇬.
Speaker.
[W8] Percassi, F., Scala, E., & Vallati, M., “The Power of Reformulation: From Validation to Planning in PDDL+” In In Proceedings of the Twenty-ninth RCRA International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, RCRA 2022 hosted at LPNMR 2022.
Reprise of [C10];
Speaker.
[A1] Chiari M., Gerevini A.E., Putelli L., Percassi F., & Serina I., “Goal Recognition as a Deep Learning Task: the GRNet Approach”. arXiv preprint.
2021
[J1] Percassi, F., Gerevini, A. E., Scala, E., Serina, I., & Vallati, M, “Improving Domain-Independent Heuristic State-Space Planning via Plan Cost Predictions”, In Journal of Experimental and Theoretical Artificial Intelligence (JETAI). [Rank Q3].
Journal extended version of [C6].
[C7] Bonassi, L., Gerevini, A. E., Percassi, F. & Scala, “On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away”, In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021. [Rank A*].
[C8] Percassi, F., Scala, E. & Vallati, M., “Translations from Discretised PDDL+ to Numeric Planning”, In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021. [Rank A*].
Speaker.
[C9] Percassi, F., Scala, E., & Vallati, M., “A Sound (but Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning.” In Proceedings of Twentieth International Conference of the Italian Association for Artificial Intelligence, AixiA 2021.
Revised, corrected and extended version of [W4];
Speaker.
[W4] Percassi, F., Scala, E., & Vallati, M., “A Sound (but Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning” In Knowledge Engineering for Planning and Scheduling, KEPS 2021 hosted at ICAPS 2021. KEPS 2021 Talk.
Speaker.
[W5] Percassi, F., Scala, E., & Vallati, M., “On Translation-Based Approaches from Discrete PDDL+ to Numeric Planning.” In Proceedings of the 9th Italian Workshop on Planning and Scheduling, IPS 2021 hosted at AixiA 2021 🇮🇹 and The second online Workshop of the UK Planning & Scheduling Special Interest Group , UK PlanSIG 2021. IPS 2021 Talk.
Speaker.
2020
[C6] Percassi F., Gerevini, A. E, Scala E., Serina I., & Vallati M., “Generating and Exploiting Cost Predictions in Heuristic State-Space Planning”, In Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, ICAPS 2020. [Rank A*].
Speaker.
[W3] Percassi F., Gerevini A.E., Scala E., Serina I., Vallati M., “Generating and Exploiting Cost Predictions in Heuristic State-Space Planning”, In Proceedings of the Twenty-Seventh RCRA International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, RCRA 2020 hosted at AixiA 2020 🇮🇹.
Reprise of [C6];
Speaker.
2019
[C3] Gerevini A. E., Lipovetzky N., Percassi F., Saetti A., Serina I., “Best-First Width Search for Multi Agent Privacy-preserving Planning”, In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, ICAPS 2019. [Rank A*].
[C4] Percassi F. & Gerevini A. E., “On Compiling Away PDDL3 Soft Trajectory Constraints without Using Automata” In Proceedings of the Twenty-ninth International Conference on Automated Planning and Scheduling, ICAPS 2019. [Rank A*].
[C5] Gerevini, A. E., Lipovetzky, N., Peli, N., Percassi, F., Saetti, A., & Serina, I., “Novelty Messages Filtering for Multi Agent Privacy-preserving Planning”. In Proceedings of Twelfth Annual Symposium on Combinatorial Search, SoCS 2019.
[W2] Percassi F., Vallati M., Scala E., Gerevini A.E., Saetti A., Serina I., “On the Usefulness of Plan’s Quality Predictions for Improving Domain-Independent Planning”. In Proceedings of The Seventh Italian Workshop on Planning and Scheduling, IPS 2019 hosted at AixiA 2019 🇮🇹.
Speaker.
2018
[C2] Bazzotti G., Gerevini A. E., Lipovetzky N., Percassi F., Saetti A., Serina I., “Iterative Width Search for Multi Agent Privacy Preserving Planning”, In Proc. of AixiA 🇮🇹.
2017
[C1] Percassi F., Gerevini A. E., Hector G., “Improving Plan Quality through Heuristics for Guiding and Pruning the Search: A Study Using LAMA”, In Proc. of SoCS. [Rank B]
Speaker.
[W1] Ceriani L., Gerevini A.E., Percassi F., “Planning with Always Preferences by Compilation into STRIPS with Action Costs”, In RCRA Workshop hosted at AixiA 🇮🇹.