Matteo Leonetti

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 42

Top Topics

Object Retrieval

Reinforcement Learning

Receding Horizon

Automated Planning

Top Venues

Publications

Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
Learning Social Cost Functions for Human-Aware Path Planning. CoRR (2024)
Aravinda Ramakrishnan Srinivasan, Julian Frederik Schumann, Yueyang Wang, Yi-Shin Lin, Michael Daly, Albert Solernou, Arkady Zgonnikov, Matteo Leonetti, Jac Billington, Gustav Markkula
The COMMOTIONS Urban Interactions Driving Simulator Study Dataset. CoRR (2023)
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
Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Chengke Sun, Anthony G. Cohn, Matteo Leonetti
Online Human Capability Estimation Through Reinforcement Learning and Interaction. IROS (2023)
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
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? CoRR (2022)
Logan Dunbar, Benjamin Rosman, Anthony G. Cohn, Matteo Leonetti
Reducing the Planning Horizon Through Reinforcement Learning. ECML/PKDD (4) (2022)
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
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022. CoRR (2022)
Lennart Wachowiak, Peter Tisnikar, Gerard Canal, Andrew Coles, Matteo Leonetti, Oya Çeliktutan
Analysing Eye Gaze Patterns during Confusion and Errors in Human-Agent Collaborations. RO-MAN (2022)
Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula
A Utility Maximization Model of Pedestrian and Driver Interactions. IEEE Access 10 (2022)
Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti
Occlusion-Aware Search for Object Retrieval in Clutter. IROS (2021)
Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model. ITSC (2021)
Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula
A Utility Maximization Model of Pedestrian and Driver Interactions. CoRR (2021)
Ricardo Luna Gutierrez, Matteo Leonetti
Meta Reinforcement Learning for Heuristic Planing. ICAPS (2021)
Wissam Bejjani, Matteo Leonetti, Mehmet Remzi Dogar
Learning image-based Receding Horizon Planning for manipulation in clutter. Robotics Auton. Syst. 138 (2021)
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
AI-HRI 2021 Proceedings. CoRR (2021)
Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model. CoRR (2021)
Ricardo Luna Gutierrez, Matteo Leonetti
Meta-Reinforcement Learning for Heuristic Planning. CoRR (2021)
Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko
Curriculum Learning with a Progression Function. CoRR (2020)
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn
Human-like Planning for Reaching in Cluttered Environments. CoRR (2020)
Aleks Attanasio, Bruno Scaglioni, Matteo Leonetti, Alejandro F. Frangi, William Cross, Chandra Shekhar Biyani, Pietro Valdastri
Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery - A Feasibility Study. IEEE Robotics Autom. Lett. 5 (4) (2020)
Ricardo Luna Gutierrez, Matteo Leonetti
Information-theoretic Task Selection for Meta-Reinforcement Learning. NeurIPS (2020)
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
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020. CoRR (2020)
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn
Human-like Planning for Reaching in Cluttered Environments. ICRA (2020)
Ricardo Luna Gutierrez, Matteo Leonetti
Information-theoretic Task Selection for Meta-Reinforcement Learning. CoRR (2020)
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR (2020)
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. J. Mach. Learn. Res. 21 (2020)
Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti
Occlusion-Aware Search for Object Retrieval in Clutter. CoRR (2020)
Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
A gray-box approach for curriculum learning. CoRR (2019)
Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. CoRR (2019)
Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. IROS (2019)
Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
A Gray-Box Approach for Curriculum Learning. WCGO (2019)
Francesco Foglino, Christiano Coletto Christakou, Matteo Leonetti
An Optimization Framework for Task Sequencing in Curriculum Learning. ICDL-EPIROB (2019)
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
Curriculum Learning for Cumulative Return Maximization. IJCAI (2019)
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
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019. CoRR (2019)
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
Curriculum Learning for Cumulative Return Maximization. CoRR (2019)
Francesco Foglino, Matteo Leonetti
An Optimization Framework for Task Sequencing in Curriculum Learning. CoRR (2019)
Wissam Bejjani, Rafael Papallas, Matteo Leonetti, Mehmet Remzi Dogar
Learning Deep Policies for Physics-Based Manipulation in Clutter. CoRR (2018)
Wissam Bejjani, Rafael Papallas, Matteo Leonetti, Mehmet Remzi Dogar
Planning with a Receding Horizon for Manipulation in Clutter Using a Learned Value Function. Humanoids (2018)
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone
Automatic Curriculum Graph Generation for Reinforcement Learning Agents. AAAI (2017)
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
BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. 36 (5-7) (2017)
Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone
Source Task Creation for Curriculum Learning. AAMAS (2016)
Matteo Leonetti, Luca Iocchi, Peter Stone
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making. Artif. Intell. 241 (2016)
Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone
Learning Inter-Task Transferability in the Absence of Target Task Samples. AAMAS (2015)
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
Reports on the 2014 AAAI Fall Symposium Series. AI Mag. 36 (3) (2015)
Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, Peter Stone
Planning in Action Language BC while Learning Action Costs for Mobile Robots. ICAPS (2014)
Seyed Reza Ahmadzadeh, Matteo Leonetti, Arnau Carrera, Marc Carreras, Petar Kormushev, Darwin G. Caldwell
Online discovery of AUV control policies to overcome thruster failures. ICRA (2014)
Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, Peter Stone
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots. AAAI Spring Symposia (2014)
George C. Karras, Charalampos P. Bechlioulis, Matteo Leonetti, Narcís Palomeras, Petar Kormushev, Kostas J. Kyriakopoulos, Darwin G. Caldwell
On-line identification of autonomous underwater vehicles through global derivative-free optimization. IROS (2013)
Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy
Induction and learning of finite-state controllers from simulation. AAMAS (2012)
Paolo Romano, Matteo Leonetti
Self-tuning batching in total order broadcast protocols via analytical modelling and reinforcement learning. ICNC (2012)
Matteo Leonetti, Luca Iocchi, Fabio Patrizi
Automatic Generation and Learning of Finite-State Controllers. AIMSA (2012)
Paolo Romano, Matteo Leonetti
Poster: selftuning batching in total order broadcast via analytical modelling and reinforcement learning. SIGMETRICS Perform. Evaluation Rev. 39 (2) (2011)
Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy
Reinforcement Learning through Global Stochastic Search in N-MDPs. ECML/PKDD (2) (2011)
Matteo Leonetti, Luca Iocchi
Improving the Performance of Complex Agent Plans Through Reinforcement Learning. Cognitive Robotics (2010)
Matteo Leonetti, Luca Iocchi
LearnPNP: A Tool for Learning Agent Behaviors. RoboCup (2010)
Vittorio A. Ziparo, Luca Iocchi, Matteo Leonetti, Daniele Nardi
On-line robot execution monitoring using probabilistic action duration. AAMAS (2010)
Matteo Leonetti, Luca Iocchi
Improving the performance of complex agent plans through reinforcement learning. AAMAS (2010)
Vittorio A. Ziparo, Luca Iocchi, Matteo Leonetti, Daniele Nardi
A probabilistic action duration model for plan selection and monitoring. IROS (2010)