Matteo Leonetti

72 papers A* 9A 12B 1C 1Misc 2Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General Social Cost Layer for Robotic Navigation Planning. Int. J. Soc. Robotics Filippo Aisa, Andrea Ostuni, Mauro Martini, Andrea Eirale, Matteo Leonetti, Matteo Nazzario, Marcello Chiaberge
2026	J	`jnl`	Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour Alignment. CoRR Nathan Gavenski, Matteo Leonetti, Odinaldo Rodrigues
2025	A*	`conf`	Bias and Performance Disparities in Reinforcement Learning for Human-Robot Interaction. HRI Zoe Evans, Matteo Leonetti, Martim Brandão
2025	J	`jnl`	Goal-Conditioned Model Simplification for 1-D and 2-D Deformable Object Manipulation. IEEE Trans. Robotics Shengyin Wang, Matteo Leonetti, Mehmet Remzi Dogar
2025	—	`conf`	Imitation Learning for Adaptive Control of a Virtual Soft Exoglove. ICORR Shirui Lyu, Vittorio Caggiano, Matteo Leonetti, Dario Farina, Letizia Gionfrida
2025	J	`jnl`	Imitation Learning for Adaptive Control of a Virtual Soft Exoglove. CoRR Shirui Lyu, Vittorio Caggiano, Matteo Leonetti, Dario Farina, Letizia Gionfrida
2025	J	`jnl`	Learning Social Heuristics for Human-Aware Path Planning. CoRR Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
2025	J	`jnl`	Predicting When and What to Explain From Multimodal Eye Tracking and Task Signals. IEEE Trans. Affect. Comput. Lennart Wachowiak, Peter Tisnikar, Gerard Canal, Andrew Coles, Matteo Leonetti, Oya Çeliktutan
2025	J	`jnl`	Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning. CoRR Roberto Cipollone, Luca Iocchi, Matteo Leonetti
2024	J	`jnl`	Introduction to the Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI). ACM Trans. Hum. Robot Interact. Jivko Sinapov, Zhao Han, Shelly Bagchi, Muneeb Imtiaz Ahmad, Matteo Leonetti, Ross Mead, Reuth Mirsky, Emmanuel Senft
2024	A	`conf`	Learning Social Cost Functions for Human-Aware Path Planning. IROS Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
2024	J	`jnl`	Learning Social Cost Functions for Human-Aware Path Planning. CoRR Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
2024	A	`conf`	Probabilistic Inference of Human Capabilities from Passive Observations. IROS Peter Tisnikar, Gerard Canal, Matteo Leonetti
2023	J	`jnl`	Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? IEEE Trans. Intell. Transp. Syst. Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
2023	A*	`conf`	Goal-Conditioned Action Space Reduction for Deformable Object Manipulation. ICRA Shengyin Wang, Rafael Papallas, Matteo Leonetti, Mehmet Remzi Dogar
2023	A	`conf`	Online Human Capability Estimation Through Reinforcement Learning and Interaction. IROS Chengke Sun, Anthony G. Cohn, Matteo Leonetti
2023	J	`jnl`	The COMMOTIONS Urban Interactions Driving Simulator Study Dataset. CoRR Aravinda Ramakrishnan Srinivasan, Julian Frederik Schumann, Yueyang Wang, Yi-Shin Lin, Michael Daly, Albert Solernou, Arkady Zgonnikov, Matteo Leonetti, Jac Billington, Gustav Markkula
2022	J	`jnl`	A Utility Maximization Model of Pedestrian and Driver Interactions. IEEE Access Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula
2022	B	`conf`	Analysing Eye Gaze Patterns during Confusion and Errors in Human-Agent Collaborations. RO-MAN Lennart Wachowiak, Peter Tisnikar, Gerard Canal, Andrew Coles, Matteo Leonetti, Oya Çeliktutan
2022	J	`jnl`	Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? CoRR Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
2022	J	`jnl`	Proceedings of the AI-HRI Symposium at AAAI-FSS 2022. CoRR Zhao Han, Emmanuel Senft, Muneeb Imtiaz Ahmad, Shelly Bagchi, Amir Yazdani, Jason R. Wilson, Boyoung Kim, Ruchen Wen, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Reuth Mirsky, Ahalya Prabhakar, Megan L. Zimmerman
2022	—	`conf`	Reducing the Planning Horizon Through Reinforcement Learning. ECML/PKDD (4) Logan Dunbar, Benjamin Rosman, Anthony G. Cohn, Matteo Leonetti
2021	J	`jnl`	A Utility Maximization Model of Pedestrian and Driver Interactions. CoRR Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula
2021	J	`jnl`	AI-HRI 2021 Proceedings. CoRR Reuth Mirsky, Megan Zimmerman, Muneed Ahmad, Shelly Bagchi, Felix Gervits, Zhao Han, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Emmanuel Senft, Jivko Sinapov, Jason R. Wilson
2021	—	`conf`	Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model. ITSC Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
2021	J	`jnl`	Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model. CoRR Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
2021	J	`jnl`	Learning image-based Receding Horizon Planning for manipulation in clutter. Robotics Auton. Syst. Wissam Bejjani, Matteo Leonetti, Mehmet Remzi Dogar
2021	A*	`conf`	Meta Reinforcement Learning for Heuristic Planing. ICAPS Ricardo Luna Gutierrez, Matteo Leonetti
2021	J	`jnl`	Meta-Reinforcement Learning for Heuristic Planning. CoRR Ricardo Luna Gutierrez, Matteo Leonetti
2021	A	`conf`	Occlusion-Aware Search for Object Retrieval in Clutter. IROS Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti
2020	J	`jnl`	Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery - A Feasibility Study. IEEE Robotics Autom. Lett. Aleks Attanasio, Bruno Scaglioni, Matteo Leonetti, Alejandro F. Frangi, William Cross, Chandra Shekhar Biyani, Pietro Valdastri
2020	J	`jnl`	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
2020	J	`jnl`	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. J. Mach. Learn. Res. Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
2020	J	`jnl`	Curriculum Learning with a Progression Function. CoRR Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko
2020	A*	`conf`	Human-like Planning for Reaching in Cluttered Environments. ICRA Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn
2020	J	`jnl`	Human-like Planning for Reaching in Cluttered Environments. CoRR Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn
2020	A*	`conf`	Information-theoretic Task Selection for Meta-Reinforcement Learning. NeurIPS Ricardo Luna Gutierrez, Matteo Leonetti
2020	J	`jnl`	Information-theoretic Task Selection for Meta-Reinforcement Learning. CoRR Ricardo Luna Gutierrez, Matteo Leonetti
2020	J	`jnl`	Occlusion-Aware Search for Object Retrieval in Clutter. CoRR Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti
2020	J	`jnl`	Proceedings of the AI-HRI Symposium at AAAI-FSS 2020. CoRR Shelly Bagchi, Jason R. Wilson, Muneeb Imtiaz Ahmad, Christian Dondrup, Zhao Han, Justin W. Hart, Matteo Leonetti, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Megan L. Zimmerman
2019	—	`conf`	A Gray-Box Approach for Curriculum Learning. WCGO Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
2019	J	`jnl`	A gray-box approach for curriculum learning. CoRR Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
2019	—	`conf`	An Optimization Framework for Task Sequencing in Curriculum Learning. ICDL-EPIROB Francesco Foglino, Christiano Coletto Christakou, Matteo Leonetti
2019	J	`jnl`	An Optimization Framework for Task Sequencing in Curriculum Learning. CoRR Francesco Foglino, Matteo Leonetti
2019	A*	`conf`	Curriculum Learning for Cumulative Return Maximization. IJCAI Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
2019	J	`jnl`	Curriculum Learning for Cumulative Return Maximization. CoRR Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
2019	A	`conf`	Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. IROS Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti
2019	J	`jnl`	Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. CoRR Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti
2019	J	`jnl`	Proceedings of the AI-HRI Symposium at AAAI-FSS 2019. CoRR Justin W. Hart, Nick DePalma, Richard G. Freedman, Luca Iocchi, Matteo Leonetti, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Elin Anna Topp, Tom Williams
2018	J	`jnl`	Learning Deep Policies for Physics-Based Manipulation in Clutter. CoRR Wissam Bejjani, Rafael Papallas, Matteo Leonetti, Mehmet Remzi Dogar
2018	—	`conf`	Planning with a Receding Horizon for Manipulation in Clutter Using a Learned Value Function. Humanoids Wissam Bejjani, Rafael Papallas, Matteo Leonetti, Mehmet Remzi Dogar
2017	A*	`conf`	Automatic Curriculum Graph Generation for Reinforcement Learning Agents. AAAI Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone
2017	J	`jnl`	BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone
2016	J	`jnl`	A synthesis of automated planning and reinforcement learning for efficient, robust decision-making. Artif. Intell. Matteo Leonetti, Luca Iocchi, Peter Stone
2016	A	`conf`	Source Task Creation for Curriculum Learning. AAMAS Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone
2015	—	`ed.`	Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015. AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots Matteo Leonetti, Eric Eaton
2015	A	`conf`	Learning Inter-Task Transferability in the Absence of Target Task Samples. AAMAS Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone
2015	J	`jnl`	Reports on the 2014 AAAI Fall Symposium Series. AI Mag. Adam B. Cohen, Sonia Chernova, James Giordano, Frank Guerin, Kris K. Hauser, Bipin Indurkhya, Matteo Leonetti, Larry R. Medsker, Martin Michalowski, Daniel Sonntag, Georgi Stojanov, Dan Tecuci, Andrea Thomaz, Tony Veale, Ulli Waltinger
2014	A*	`conf`	Online discovery of AUV control policies to overcome thruster failures. ICRA Seyed Reza Ahmadzadeh, Matteo Leonetti, Arnau Carrera, Marc Carreras, Petar Kormushev, Darwin G. Caldwell
2014	A*	`conf`	Planning in Action Language BC while Learning Action Costs for Mobile Robots. ICAPS Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, Peter Stone
2014	—	`conf`	Planning in Answer Set Programming while Learning Action Costs for Mobile Robots. AAAI Spring Symposia Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, Peter Stone
2013	A	`conf`	On-line identification of autonomous underwater vehicles through global derivative-free optimization. IROS George C. Karras, Charalampos P. Bechlioulis, Matteo Leonetti, Narcís Palomeras, Petar Kormushev, Kostas J. Kyriakopoulos, Darwin G. Caldwell
2012	Misc	`conf`	Automatic Generation and Learning of Finite-State Controllers. AIMSA Matteo Leonetti, Luca Iocchi, Fabio Patrizi
2012	A	`conf`	Induction and learning of finite-state controllers from simulation. AAMAS Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy
2012	Misc	`conf`	Self-tuning batching in total order broadcast protocols via analytical modelling and reinforcement learning. ICNC Paolo Romano, Matteo Leonetti
2011	J	`jnl`	Poster: selftuning batching in total order broadcast via analytical modelling and reinforcement learning. SIGMETRICS Perform. Evaluation Rev. Paolo Romano, Matteo Leonetti
2011	—	`conf`	Reinforcement Learning through Global Stochastic Search in N-MDPs. ECML/PKDD (2) Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy
2010	A	`conf`	A probabilistic action duration model for plan selection and monitoring. IROS Vittorio A. Ziparo, Luca Iocchi, Matteo Leonetti, Daniele Nardi
2010	—	`conf`	Improving the Performance of Complex Agent Plans Through Reinforcement Learning. Cognitive Robotics Matteo Leonetti, Luca Iocchi
2010	A	`conf`	Improving the performance of complex agent plans through reinforcement learning. AAMAS Matteo Leonetti, Luca Iocchi
2010	C	`conf`	LearnPNP: A Tool for Learning Agent Behaviors. RoboCup Matteo Leonetti, Luca Iocchi
2010	A	`conf`	On-line robot execution monitoring using probabilistic action duration. AAMAS Vittorio A. Ziparo, Luca Iocchi, Matteo Leonetti, Daniele Nardi