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Marco Favorito
Marco Favorito
Verified email at diag.uniroma1.it - Homepage
Title
Cited by
Cited by
Year
Foundations for restraining bolts: Reinforcement learning with LTLf/LDLf restraining specifications
G De Giacomo, L Iocchi, M Favorito, F Patrizi
Proceedings of the International Conference on Automated Planning and …, 2019
78*2019
Compositional Approach to Translate LTLf/LDLf into Deterministic Finite Automata
G De Giacomo, M Favorito
Proceedings of the 31st International Conference on Automated Planning and …, 2021
152021
Temporal Logic Monitoring Rewards via Transducers
G De Giacomo, M Favorito, L Iocchi, F Patrizi, A Ronca
Proceedings of the International Conference on Principles of Knowledge …, 2020
152020
Restraining bolts for Reinforcement Learning agents
G De Giacomo, L Iocchi, M Favorito, F Patrizi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (9), 13659 …, 2020
102020
Autonomous economic agents as a second layer technology for blockchains: Framework introduction and use-case demonstration
D Minarsch, SA Hosseini, M Favorito, J Ward
2020 Crypto Valley Conference on Blockchain Technology (CVCBT), 27-35, 2020
72020
Imitation Learning over Heterogeneous Agents with Restraining Bolts
G De Giacomo, M Favorito, L Iocchi, F Patrizi
Proceedings of the International Conference on Automated Planning and …, 2020
72020
Trading Agent Competition with Autonomous Economic Agents
D Minarsch, A Hosseini, M Favorito, J Ward
Proceedings of the International Conference on Agents and Artificial …, 2021
42021
Trading Agent Competition with Autonomous Economic Agents
D Minarsch, M Favorito, A Hosseini, J Ward
Proceedings of the International Conference on Autonomous Agents and …, 2020
42020
Reinforcement learning for LTLf/LDLf goals: Theory and implementation
M Favorito
Master's thesis. DIAG, Sapienza Univ. Rome, 2018
32018
Autonomous Economic Agent Framework
D Minarsch, M Favorito, SA Hosseini, Y Turchenkov, J Ward
Engineering Multi-Agent Systems, 2021
22021
A Practical Framework for General Dialogue-based Bilateral Interactions
SA Hosseini, D Minarsch, M Favorito
Engineering Multi-Agent Systems, 2021
22021
Autonomous Economic Agent (AEA) Framework
M Favorito, D Minarsch, A Hosseini, A Triantafyllidis, D Campbell, ...
22019
A PoW-less Bitcoin with Certified Byzantine Consensus
M Benedetti, F De Sclavis, M Favorito, G Galano, S Giammusso, A Muci, ...
arXiv preprint arXiv:2207.06870, 2022
12022
Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic: A Polynomial Reduction to Standard Planning
G De Giacomo, M Favorito, F Fuggitti
arXiv preprint arXiv:2204.09960, 2022
12022
On the Relationship between Shy and Warded Datalog+/-
T Baldazzi, L Bellomarini, M Favorito, E Sallinger
arXiv preprint arXiv:2202.06285, 2022
12022
Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe
SA Hosseini, D Campbell, M Favorito, J Ward
Proceedings of the International Conference on Autonomous Agents and …, 2019
12019
Black-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Models
M Benedetti, G Catapano, F De Sclavis, M Favorito, A Glielmo, ...
Journal of Open Source Software 7 (79), 4622, 2022
2022
Exploiting Multiple Levels of Abstractions in Episodic RL via Reward Shaping
R Cipollone, G De Giacomo, M Favorito, L Iocchi, F Patrizi
PRL Workshop @ IJCAI, 2022
2022
LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work
G De Giacomo, M Favorito, J Li, MY Vardi, S Xiao, S Zhu
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
2022
Exploiting Different Levels of Abstractions for Sample Efficient Reinforcement Learning
R Cipollone, G De Giacomo, M Favorito, L Iocchi, F Patrizi
20th International Conference of the Italian Association for Artificial …, 2021
2021
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