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Matteo Leonetti

A Utility Maximization Model of Pedestrian and Driver Interactions


Oct 21, 2021
Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula

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* 10 pages, 7 figures 
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AI-HRI 2021 Proceedings


Sep 23, 2021
Reuth Mirsky, Megan Zimmerman, Muneed Ahmad, Shelly Bagchi, Felix Gervits, Zhao Han, Justin Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Emmanuel Senft, Jivko Sinapov, Jason Wilson

* Proceedings of the AI-HRI Symposium at AAAI-FSS 2021 
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Meta-Reinforcement Learning for Heuristic Planning


Jul 06, 2021
Ricardo Luna Gutierrez, Matteo Leonetti

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* ICAPS 2021 
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Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model


Apr 21, 2021
Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula

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* This paper has been submitted to 24th IEEE International Conference on Intelligent Transportation - ITSC2021, September 19-22, 2021 Indianapolis, IN, United States 
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Proceedings of the AI-HRI Symposium at AAAI-FSS 2020


Nov 11, 2020
Shelly Bagchi, Jason R. Wilson, Muneeb I. Ahmad, Christian Dondrup, Zhao Han, Justin W. Hart, Matteo Leonetti, Katrin Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Megan L. Zimmerman

* Symposium proceedings 
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Occlusion-Aware Search for Object Retrieval in Clutter


Nov 10, 2020
Wissam Bejjani, Wisdom C. Agboh, Mehmet R. Dogar, Matteo Leonetti

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Information-theoretic Task Selection for Meta-Reinforcement Learning


Nov 02, 2020
Ricardo Luna Gutierrez, Matteo Leonetti

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* Work to be presented at NeurIPS 2020 
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Curriculum Learning with a Progression Function


Aug 02, 2020
Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko

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Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey


Mar 10, 2020
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone

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Human-like Planning for Reaching in Cluttered Environments


Mar 03, 2020
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet R. Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn

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* To be published in ICRA 2020 
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Introducing a Human-like Planner for Reaching in Cluttered Environments


Feb 28, 2020
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet R. Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn

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* To be published in ICRA 2020 
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Proceedings of the AI-HRI Symposium at AAAI-FSS 2019


Sep 19, 2019
Justin W. Hart, Nick DePalma, Richard G. Freedman, Luca Iocchi, Matteo Leonetti, Katrin Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Elin A. Topp, Tom Williams

* HTML file with clickable links to papers - All papers have been reviewed by at least two reviewers in a single blind fashion - Symposium website: https://ai-hri.github.io/2019/ 
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A gray-box approach for curriculum learning


Jun 17, 2019
Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia

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* Optimization of Complex Systems: Theory, Models, Algorithms and Applications, 2020, pp 720-729 
 * 10 pages, 1 figure 
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Curriculum Learning for Cumulative Return Maximization


Jun 13, 2019
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti

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* Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). arXiv admin note: text overlap with arXiv:1901.11478 
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Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning


Apr 03, 2019
Wissam Bejjani, Mehmet R. Dogar, Matteo Leonetti

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An Optimization Framework for Task Sequencing in Curriculum Learning


Mar 11, 2019
Francesco Foglino, Christiano Coletto Christakou, Matteo Leonetti

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Planning with a Receding Horizon for Manipulation in Clutter using a Learned Value Function


Jul 27, 2018
Wissam Bejjani, Rafael Papallas, Matteo Leonetti, Mehmet R. Dogar

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