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2020 – today
- 2024
[j10]Jivko Sinapov, Zhao Han, Shelly Bagchi, Muneeb Imtiaz Ahmad, Matteo Leonetti, Ross Mead, Reuth Mirsky, Emmanuel Senft:
Introduction to the Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI). ACM Trans. Hum. Robot Interact. 13(3): 34:1-34:3 (2024)- [i21]Andrea Eirale, Matteo Leonetti, Marcello Chiaberge:
Learning Social Cost Functions for Human-Aware Path Planning. CoRR abs/2407.10547 (2024) - 2023
- [j9]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): 7166-7177 (2023) - [c28]Chengke Sun, Anthony G. Cohn, Matteo Leonetti:
Online Human Capability Estimation Through Reinforcement Learning and Interaction. IROS 2023: 7984-7991 - [i20]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 abs/2305.11909 (2023) - 2022
- [j8]Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula:
A Utility Maximization Model of Pedestrian and Driver Interactions. IEEE Access 10: 118888-118899 (2022) - [c27]Logan Dunbar, Benjamin Rosman, Anthony G. Cohn, Matteo Leonetti:
Reducing the Planning Horizon Through Reinforcement Learning. ECML/PKDD (4) 2022: 68-83 - [c26]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: 224-229 - [i19]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 abs/2206.11110 (2022) - [i18]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 abs/2209.14292 (2022) - 2021
- [j7]Wissam Bejjani, Matteo Leonetti, Mehmet Remzi Dogar:
Learning image-based Receding Horizon Planning for manipulation in clutter. Robotics Auton. Syst. 138: 103730 (2021) - [c25]Ricardo Luna Gutierrez, Matteo Leonetti:
Meta Reinforcement Learning for Heuristic Planing. ICAPS 2021: 551-559 - [c24]Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti:
Occlusion-Aware Search for Object Retrieval in Clutter. IROS 2021: 4678-4685 - [c23]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: 3787-3792 - [i17]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 abs/2104.10496 (2021) - [i16]Ricardo Luna Gutierrez, Matteo Leonetti:
Meta-Reinforcement Learning for Heuristic Planning. CoRR abs/2107.02603 (2021) - [i15]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 abs/2109.10836 (2021) - [i14]Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula:
A Utility Maximization Model of Pedestrian and Driver Interactions. CoRR abs/2110.11015 (2021) - 2020
- [j6]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: 181:1-181:50 (2020) - [j5]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): 6528-6535 (2020) - [c22]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: 7784-7790 - [c21]Ricardo Luna Gutierrez, Matteo Leonetti:
Information-theoretic Task Selection for Meta-Reinforcement Learning. NeurIPS 2020 - [i13]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 abs/2002.12738 (2020) - [i12]Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR abs/2003.04960 (2020) - [i11]Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko:
Curriculum Learning with a Progression Function. CoRR abs/2008.00511 (2020) - [i10]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 abs/2010.13830 (2020) - [i9]Ricardo Luna Gutierrez, Matteo Leonetti:
Information-theoretic Task Selection for Meta-Reinforcement Learning. CoRR abs/2011.01054 (2020) - [i8]Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti:
Occlusion-Aware Search for Object Retrieval in Clutter. CoRR abs/2011.03334 (2020)
2010 – 2019
- 2019
- [c20]Francesco Foglino, Christiano Coletto Christakou, Matteo Leonetti:
An Optimization Framework for Task Sequencing in Curriculum Learning. ICDL-EPIROB 2019: 207-214 - [c19]Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. IJCAI 2019: 2308-2314 - [c18]Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti:
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. IROS 2019: 6562-6569 - [c17]Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia:
A Gray-Box Approach for Curriculum Learning. WCGO 2019: 720-729 - [i7]Francesco Foglino, Matteo Leonetti:
An Optimization Framework for Task Sequencing in Curriculum Learning. CoRR abs/1901.11478 (2019) - [i6]Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti:
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. CoRR abs/1904.02223 (2019) - [i5]Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. CoRR abs/1906.06178 (2019) - [i4]Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia:
A gray-box approach for curriculum learning. CoRR abs/1906.06812 (2019) - [i3]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 abs/1909.04812 (2019) - 2018
- [c16]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: 1-9 - [i2]Wissam Bejjani, Rafael Papallas, Matteo Leonetti, Mehmet Remzi Dogar:
Learning Deep Policies for Physics-Based Manipulation in Clutter. CoRR abs/1803.08100 (2018) - 2017
- [j4]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): 635-659 (2017) - [c15]Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone:
Automatic Curriculum Graph Generation for Reinforcement Learning Agents. AAAI 2017: 2590-2596 - 2016
- [j3]Matteo Leonetti, Luca Iocchi, Peter Stone:
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making. Artif. Intell. 241: 103-130 (2016) - [c14]Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone:
Source Task Creation for Curriculum Learning. AAMAS 2016: 566-574 - 2015
- [j2]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): 107-112 (2015) - [c13]Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone:
Learning Inter-Task Transferability in the Absence of Target Task Samples. AAMAS 2015: 725-733 - [e1]Matteo Leonetti, Eric Eaton:
Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015. AAAI Technical Report WS-15-09, AAAI Press 2015, ISBN 978-1-57735-720-9 [contents] - 2014
- [c12]Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, Peter Stone:
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots. AAAI Spring Symposia 2014 - [c11]Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, Peter Stone:
Planning in Action Language BC while Learning Action Costs for Mobile Robots. ICAPS 2014 - [c10]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: 6522-6528 - 2013
- [c9]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: 3859-3864 - 2012
- [c8]Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy:
Induction and learning of finite-state controllers from simulation. AAMAS 2012: 1203-1204 - [c7]Matteo Leonetti, Luca Iocchi, Fabio Patrizi:
Automatic Generation and Learning of Finite-State Controllers. AIMSA 2012: 135-144 - [c6]Paolo Romano, Matteo Leonetti:
Self-tuning batching in total order broadcast protocols via analytical modelling and reinforcement learning. ICNC 2012: 786-792 - 2011
- [j1]Paolo Romano, Matteo Leonetti:
Poster: selftuning batching in total order broadcast via analytical modelling and reinforcement learning. SIGMETRICS Perform. Evaluation Rev. 39(2): 77 (2011) - [c5]Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy:
Reinforcement Learning through Global Stochastic Search in N-MDPs. ECML/PKDD (2) 2011: 326-340 - 2010
- [c4]Matteo Leonetti, Luca Iocchi:
Improving the performance of complex agent plans through reinforcement learning. AAMAS 2010: 723-730 - [c3]Vittorio A. Ziparo, Luca Iocchi, Matteo Leonetti, Daniele Nardi:
On-line robot execution monitoring using probabilistic action duration. AAMAS 2010: 1521-1522 - [c2]Vittorio A. Ziparo, Luca Iocchi, Matteo Leonetti, Daniele Nardi:
A probabilistic action duration model for plan selection and monitoring. IROS 2010: 4716-4721 - [c1]Matteo Leonetti, Luca Iocchi:
LearnPNP: A Tool for Learning Agent Behaviors. RoboCup 2010: 418-429 - [i1]Matteo Leonetti, Luca Iocchi:
Improving the Performance of Complex Agent Plans Through Reinforcement Learning. Cognitive Robotics 2010
Coauthor Index
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last updated on 2024-10-31 21:11 CET by the dblp team
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