Matteo Leonetti
机构: Department of Informatics, King's College London
每年引用次数
引用次数
引用: 1,778
H-指数: 22
I10-指数 : 31
出版物: 80
Planning in action language BC while learning action costs for mobile robots
Matteo Leonetti , Vladimir Lifschitz , Fangkai Yang , Peter Stone
international conference on automated planning and scheduling 472 -480
21
2014
Improving the performance of complex agent plans through reinforcement learning
Luca Iocchi , Matteo Leonetti
adaptive agents and multi-agents systems 723 -730
7
2010
Learning Inter-Task Transferability in the Absence of Target Task Samples
Jivko Sinapov , Matteo Leonetti , Peter Stone , Sanmit Narvekar
adaptive agents and multi-agents systems 725 -733
21
2015
Source Task Creation for Curriculum Learning
Jivko Sinapov , Matteo Leonetti , Peter Stone , Sanmit Narvekar
adaptive agents and multi-agents systems 566 -574
49
2016
Automatic Curriculum Graph Generation for Reinforcement Learning Agents
Jivko Sinapov , Matteo Leonetti , Peter Stone , Maxwell Svetlik
national conference on artificial intelligence 2590 -2596
90
2017
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning
Matteo Leonetti , Mehmet R. Dogar , Wissam Bejjani
arXiv: Robotics
20
2019
Planning with a Receding Horizon for Manipulation in Clutter using a Learned Value Function
Matteo Leonetti , Mehmet R. Dogar , Rafael Papallas , Wissam Bejjani
arXiv: Robotics
26
2018
Curriculum Learning for Cumulative Return Maximization
Matteo Leonetti , Francesco Foglino , Christiano Coletto Christakou , Ricardo Luna Gutierrez
arXiv: Learning
12
2019
Introducing a Human-like Planner for Reaching in Cluttered Environments
Matteo Leonetti , Faisal Mushtaq , Anthony G. Cohn , Mohamed Hasan
arXiv: Robotics
2020
Learning manipulation planning from VR human demonstrations
Mohamed Hasan , Matthew Warburton , Wisdom C Agboh , Mehmet R Dogar
University of Leeds
2020
Curriculum Learning with a Progression Function
Daniel Kudenko , Matteo Leonetti , Francesco Foglino , Andrea Bassich
arXiv: Learning
5
2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Matteo Leonetti , Bei Peng , Peter Stone , Matthew E. Taylor
Journal of Machine Learning Research 21 ( 181) 1 -50
251
2020
Human-like Planning for Reaching in Cluttered Environments
Mohamed Hasan , Matthew Warburton , Wisdom C Agboh , Mehmet R Dogar
arXiv: Robotics
17
2020
Occlusion-Aware Search for Object Retrieval in Clutter.
Matteo Leonetti , Wisdom C. Agboh , Mehmet Remzi Dogar , Wissam Bejjani
arXiv: Robotics
15
2020
A Comparative Study of Spatio-Temporal U-Nets for Tissue Segmentation in Surgical Robotics
Elena De Momi , Bruno Scaglioni , Pietro Valdastri , Matteo Leonetti
IEEE Transactions on Medical Robotics and Bionics 3 ( 1) 53 -63
10
2021
Learning image-based Receding Horizon Planning for manipulation in clutter
Matteo Leonetti , Mehmet Remzi Dogar , Wissam Bejjani
Robotics and Autonomous Systems 138 103730
9
2021
Information-theoretic Task Selection for Meta-Reinforcement Learning
Matteo Leonetti , Ricardo Luna Gutierrez
arXiv: Learning
13
2020
Online Discovery of AUV Control Policies to Overcome Thruster Failures
Seyed Reza Ahmadzadeh , Matteo Leonetti , Arnau Carrera , Marc Carreras
international conference on robotics and automation 6522 -6528
13
2014
Combining Local and Global Direct Derivative-Free Optimization for Reinforcement Learning
Matteo Leonetti , Petar Kormushev , Simone Sagratella
Cybernetics and Information Technologies 12 ( 3) 53 -65
16
2012
BWIBots: A platform for bridging the gap between AI and human–robot interaction research:
Piyush Khandelwal , Shiqi Zhang , Jivko Sinapov , Matteo Leonetti
The International Journal of Robotics Research 36 635 -659
120
2017
Peter Stone Jivko Sinapov Luca Iocchi Mehmet R. Dogar Gustav Markkula Sanmit Narvekar Wissam Bejjani Petar Kormushev Piyush Khandelwal Fangkai Yang Anthony (Tony) G Cohn Maxwell Svetlik Mohamed Hasan Francesco Foglino Bei Peng Matthew E. Taylor Vladimir Lifschitz Matthew Warburton Faisal Mushtaq Alejandro F Frangi