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.
2026
[C29] Percassi F., Saetti A. & Scala E., “Planning with Uncertain Action Models” In Proc. of AAAI. [Rank A*]
[C30] Doria F., Percassi F., Maratea M. & Vallati M. “A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation” In Proc. of AAAI. [Rank A*]
[E9] Doria F., Percassi F., Maratea M. & Vallati M. “Traffic Signal Plans Explorer: A General Framework for Visualising Traffic Evolution” In Proc. of AAAI (Demo Track). [Rank A*]
[E10] Scala E., Percassi F. & Vallati M. “PPS: An Efficient Java-based Simulator for Time-Discrete PDDL+” In Proc. of AAAI (Demo Track). [Rank A*]
2025
[C23] Bonassi, L., Percassi, F. & Scala, E., “Towards Practical Classical Planning Compilations of Numeric Planning” In Proc. of AAAI. [Rank A*]
[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., Castellanos, S., Rombourg, R. & Vallati, M., “An Approach to Quantify Plans Robustness in Real-world Applications” In Proc. of IJCAI. [Rank A*]
C[27] Bonassi, L., Espasa A. J., Percassi, F. & Scala E., “Conditional Effects in Numeric Planning Reloaded” In Proc. of ECAI. [Rank A]
C[28] Percassi, F. & Vallati, M., “Automated Planning for Urban Traffic Control with LLM-Generated Configurations” In Proc. of FLAIRS.
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 (Extended Abstract)” In Proc. of SoCS. [Rank B]
E[8] Bonassi, L., Percassi, F. & Scala, E., “BLAST: Bit-Blasting Numbers for Classical Planning (Extended Abstract)” In Proc. of SoCS. [Rank B]
C[29] Castellanos, S., Percassi, F. & Vallati, M., “Improved Models for Automated Planning-based Urban Traffic Control” In Proc. of MT-ITS.
W[13] D. Papamaximou, R. Guo, F. Percassi, M. Vallati, “Automated Planning for Modular Autonomous Customised Bus Systems: A Preliminary Study”, In ReLiT Workshop hosted at ECAI 2025.
W[14] Castellanos, S., Percassi, F. & Vallati, M., “Improved Models for Automated Planning-based Urban Traffic Control” In RCRA Workshop hosted at ICLP 2025.
W[15] M. Vallati, C. Dodaro, F. Doria, S. Fiorentino, M. Maratea, F. Percassi, A. Tarzariol, “ASP and PDDL+ Applications in Urban Traffic Distribution and Control”, In CARLA Workshop hosted at ICLP 2025.
2024
[C16] Gerevini, A., Percassi, F., & Scala, E., “An Effective Polynomial Technique for Compiling Conditional Effects Away” In Proc. of AAAI. [Rank A*]
[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*]
[C18] Cardellini, M., Maratea, M., Percassi, F., Scala, E. & Vallati, M., “Taming Discretised PDDL+ through Multiple Discretisations” In Proc. of ICAPS. [Rank A*]
[C19] Percassi, F., Scala, E. & Gerevini, A., “Optimised Variants of Polynomial Compilation for Conditional Effects in Classical Planning” In Proc. of SoCS. [Rank B]
[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.
[C21] Guo, R., Percassi, F. & Vallati, M., “Optimising Traffic Flow Through Synchronised Signal Configurations Along Urban Corridors” In Proc. of IEEE ITSC.
[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]
[E5] Cardellini, M., Maratea, M., Percassi, F., Scala, E. & Vallati, M., “Taming Discretised PDDL+ through Multiple Discretisations” In Proc. of SoCS. [Rank B]
[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.
[W11] 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” In KEPS Workshop hosted at ICAPS.
[W12] El Kouaiti, A., Percassi, F., Saetti, A., McCluskey, L. & Vallati, M., “PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation” In IPS Workshop hosted at AixiA.
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]
[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]
[C11] Percassi, F., Scala, E., & Vallati, M. “Fixing Plans for PDDL+ Problems: Theoretical and Practical Implications” Proc. of ICAPS. [Rank A*]
[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*]
[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 (Demo Track). [Rank A*]
[E3] Percassi, F., Scala, E., & Vallati, M., “On the Notion of Fixability of PDDL+ Plans (Extended Abstract)” In Proc. of SoCS. [Rank B]
[W9] Cardellini, M., Maratea, Percassi, F., M., Scala & E., Vallati, M. “Taming Discretised PDDL+ through Multiple Discretisations”, In KEPS Workshop hosted at ICAPS 2023.
[W10] Cardellini, M., Maratea, Percassi, F., M., Scala & E., Vallati, M. “Taming Discretised PDDL+ through Multiple Discretisations”, In IPS Workshop hosted at AixiA 2023.
[C15] Percassi, F., Scala, E., & Vallati, M., “A Structure-Sensitive Translation from Hybrid to Numeric Planning” In Proc. of AixiA.
2022
[C10] Percassi, F., Scala, E., & Vallati, M., “The Power of Reformulation: From Validation to Planning in PDDL+” In Proc. of ICAPS. [Rank A*]
[E1] Percassi, F., Scala, E., & Vallati, M., “On the Reformulation of Discretised PDDL+ to Numeric Planning (Extended Abstract)” In Proc. of SoCS. [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 Proc. of SoCS. [Rank B]
[W6] Percassi, F., Scala, E., & Vallati, M., “On Translation-Based Approaches from Discrete PDDL+ to Numeric Planning.” In KEPS Workshop hosted at ICAPS 2022.
[W7] Percassi, F., Saha S., “QoS-Aware Approximate Real-time Tasks Execution on Multiprocessor Systems using PDDL+ Planning.” In KEPS Workshop hosted at ICAPS 2022.
[W8] Percassi, F., Scala, E., & Vallati, M., “The Power of Reformulation: From Validation to Planning in PDDL+” In RCRA Workshop hosted at LPNMR 2022.
[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. [Rank Q3]
[C7] Bonassi, L., Gerevini, A. E., Percassi, F. & Scala, “On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away”, In Proc. of ICAPS. [Rank A*]
[C8] Percassi, F., Scala, E. & Vallati, M., “Translations from Discretised PDDL+ to Numeric Planning”, In Proc. of ICAPS. [Rank A*]
[C9] Percassi, F., Scala, E., & Vallati, M., “A Sound (but Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning.” In Proc. of AixiA.
[W4] Percassi, F., Scala, E., & Vallati, M., “A Sound (but Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning” In KEPS Workshop hosted at ICAPS 2021.
[W5] Percassi, F., Scala, E., & Vallati, M., “On Translation-Based Approaches from Discrete PDDL+ to Numeric Planning.” In IPS Workshop hosted at AixiA 2021 and UK PlanSIG Workshop.
2020
[C6] Percassi F., Gerevini, A. E, Scala E., Serina I., & Vallati M., “Generating and Exploiting Cost Predictions in Heuristic State-Space Planning”, In Proc. of ICAPS. [Rank A*]
[W3] Percassi F., Gerevini A.E., Scala E., Serina I., Vallati M., “Generating and Exploiting Cost Predictions in Heuristic State-Space Planning”, In RCRA Workshop hosted at AixiA 2020.
2019
[C3] Gerevini A. E., Lipovetzky N., Percassi F., Saetti A., Serina I., “Best-First Width Search for Multi Agent Privacy-preserving Planning”, In Proc. of ICAPS. [Rank A*]
[C4] Percassi F. & Gerevini A. E., “On Compiling Away PDDL3 Soft Trajectory Constraints without Using Automata” In Proc. of ICAPS. [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 Proc. of SoCS. [Rank B]
[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 IPS Workshop hosted at AixiA 2019.
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 2018.
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]
[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 2017.