Publications

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book Books chapter Book Chapters article Journal Articles conference Conference Proceedings other Other publications

2023

other [i] M. Favorito, “Forward LTLf Synthesis: DPLL At Work.” arXiv, 2023. [Bibtex] [PDF] [URL]
other [i] A. Glielmo, M. Favorito, D. Chanda, and D. D. Gatti, “Combining search strategies to improve performance in the calibration of economic ABMs.” arXiv, 2023. [Bibtex] [PDF] [URL]
conference [c] R. Cipollone, G. De Giacomo, M. Favorito, L. Iocchi, and F. Patrizi, “Exploiting Multiple Abstractions in Episodic RL via Reward Shaping,” in AAAI, 2023. [Bibtex] [PDF]

2022

journal [j] M. Benedetti et al., “Black-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Models,” Journal of Open Source Software, vol. 7, no. 79, p. 4622, 2022. [Bibtex] [PDF] [URL]
conference [c] G. De Giacomo, M. Favorito, F. Leotta, M. Mecella, and L. Silo, “Modeling resilient cyber-physical processes and their composition from digital twins via Markov Decision Processes,” in PMAI@IJCAI, 2022, vol. 3310, pp. 101–104. [Bibtex] [PDF]
conference [c] G. D. Giacomo, M. Favorito, J. Li, M. Y. Vardi, S. Xiao, and S. Zhu, “LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work,” in IJCAI, 2022, pp. 2591–2598. [Bibtex] [PDF]
conference [c] T. Baldazzi, L. Bellomarini, M. Favorito, and E. Sallinger, “On the Relationship between Shy and Warded Datalog+/-,” in KR, 2022. [Bibtex] [PDF]
other [i] R. Cipollone, G. De Giacomo, M. Favorito, L. Iocchi, and F. Patrizi, “Exploiting Multiple Levels of Abstractions in Episodic RL via Reward Shaping,” PRL Workshop @ IJCAI. 2022. [Bibtex] [PDF] [URL]
other [i] M. Benedetti et al., “A PoW-less Bitcoin with Certified Byzantine Consensus.” arXiv, 2022. [Bibtex] [PDF] [URL]
other [i] G. De Giacomo, M. Favorito, and F. Fuggitti, “Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic: A Polynomial Reduction to Standard Planning.” arXiv, 2022. [Bibtex] [PDF] [URL]

2021

conference [c] G. De Giacomo, M. Favorito, F. Leotta, M. Mecella, and L. Silo, “Digital Twins Composition via Markov Decision Processes,” in ITBPM@BPM, 2021, vol. 2952, pp. 44–49. [Bibtex] [PDF]
conference [c] S. A. Hosseini, D. Minarsch, and M. Favorito, “A Practical Framework for General Dialogue-based Bilateral Interactions,” in 9th International Workshop on Engineering Multi-Agent Systems, 2021. [Bibtex] [PDF]
conference [c] D. Minarsch, M. Favorito, S. A. Hosseini, Y. Turchenkov, and J. Ward, “Autonomous Economic Agent Framework,” in 9th International Workshop on Engineering Multi-Agent Systems, 2021. [Bibtex] [PDF]
conference [c] G. De Giacomo and M. Favorito, “Compositional Approach to Translate LTLf/LDLf into Deterministic Finite Automata,” in Proceedings of the International Conference on Automated Planning and Scheduling, 2021, vol. 14. [Bibtex] [PDF] [IPFS] [Slides]
conference [c] D. Minarsch, S. A. Hosseini, M. Favorito, and J. Ward, “Trading Agent Competition with Autonomous Economic Agents,” in Proceedings of the International Conference on Agents and Artificial Intelligence, ICAART, 2021, vol. 13, pp. 574–582. [Bibtex] [PDF] [IPFS]
other [i] R. Cipollone, G. De Giacomo, M. Favorito, L. Iocchi, and F. Patrizi, “Exploiting Different Levels of Abstractions for Sample Efficient Reinforcement Learning,” 20th International Conference of the Italian Association for Artificial Intelligence. 2021. [Bibtex] [PDF]
other [i] G. De Giacomo, M. Favorito, L. Iocchi, and F. Patrizi, “Domain-independent Reward Machines for Modular Integration of Planning and Learning,” PRL Workshop @ ICAPS. 2021. [Bibtex] [PDF]
other [i] M. Favorito and G. De Giacomo, “Lydia: A Tool for Compositional LTLf/LDLfSynthesis,” Demo track @ ICAPS. 2021. [Bibtex] [PDF] [URL]

2020

conference [c] G. De Giacomo, M. Favorito, L. Iocchi, and F. Patrizi, “Imitation Learning over Heterogeneous Agents with Restraining Bolts,” in Proceedings of the International Conference on Automated Planning and Scheduling, 2020, vol. 30, pp. 517–521. [Bibtex] [PDF] [IPFS]
conference [c] G. De Giacomo, L. Iocchi, M. Favorito, and F. Patrizi, “Restraining bolts for Reinforcement Learning agents,” in Proceedings of the International Conference on Automated Planning and Scheduling, 2020, vol. 34, pp. 13659–13662. [Bibtex] [PDF] [IPFS]
conference [c] G. De Giacomo, M. Favorito, L. Iocchi, F. Patrizi, and A. Ronca, “Temporal Logic Monitoring Rewards via Transducers,” in Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning, 2020, vol. 17, pp. 860–870. [Bibtex] [PDF] [IPFS]
conference [c] D. Minarsch, M. Favorito, A. Hosseini, and J. Ward, “Trading Agent Competition with Autonomous Economic Agents,” in Proceedings of the International Conference on Autonomous Agents and MultiAgent Systems, 2020, vol. 19, pp. 2107–2110. [Bibtex] [PDF] [IPFS]
conference [c] D. Minarsch, M. Favorito, A. Hosseini, and J. Ward, “Autonomous Economic Agents as a Second Layer Technology for Blockchains: Framework Introduction and Use-Case Demonstration,” in Crypto Valley Conference on Blockchain Technology (CVCBT), 2020. [Bibtex] [PDF] [IPFS]
other [i] M. Favorito, “Standard Grammars for LTL and LDL (v0.1.0).” 2020. [Bibtex] [PDF] [URL]

2019

conference [c] S. A. Hosseini, D. Campbell, M. Favorito, and J. Ward, “Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe,” in Proceedings of the International Conference on Autonomous Agents and MultiAgent Systems, 2019, vol. 18, pp. 2360–2362. [Bibtex] [PDF] [IPFS]
conference [c] G. De Giacomo, L. Iocchi, M. Favorito, and F. Patrizi, “Foundations for restraining bolts: Reinforcement learning with LTLf/LDLf restraining specifications,” in Proceedings of the International Conference on Automated Planning and Scheduling, 2019, vol. 29, pp. 128–136. [Bibtex] [PDF] [IPFS]