Matteo Leonetti

According to our database1, Matteo Leonetti authored at least 40 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Learning image-based Receding Horizon Planning for manipulation in clutter.
Robotics Auton. Syst., 2021

A Utility Maximization Model of Pedestrian and Driver Interactions.
CoRR, 2021

AI-HRI 2021 Proceedings.
CoRR, 2021

Meta-Reinforcement Learning for Heuristic Planning.
CoRR, 2021

Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Occlusion-Aware Search for Object Retrieval in Clutter.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Meta Reinforcement Learning for Heuristic Planing.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery - A Feasibility Study.
IEEE Robotics Autom. Lett., 2020

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.
J. Mach. Learn. Res., 2020

Proceedings of the AI-HRI Symposium at AAAI-FSS 2020.
CoRR, 2020

Curriculum Learning with a Progression Function.
CoRR, 2020

Information-theoretic Task Selection for Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Human-like Planning for Reaching in Cluttered Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019.
CoRR, 2019

An Optimization Framework for Task Sequencing in Curriculum Learning.
CoRR, 2019

A Gray-Box Approach for Curriculum Learning.
Proceedings of the Optimization of Complex Systems: Theory, 2019

Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Curriculum Learning for Cumulative Return Maximization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Optimization Framework for Task Sequencing in Curriculum Learning.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

2018
Learning Deep Policies for Physics-Based Manipulation in Clutter.
CoRR, 2018

Planning with a Receding Horizon for Manipulation in Clutter Using a Learned Value Function.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
BWIBots: A platform for bridging the gap between AI and human-robot interaction research.
Int. J. Robotics Res., 2017

Automatic Curriculum Graph Generation for Reinforcement Learning Agents.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making.
Artif. Intell., 2016

Source Task Creation for Curriculum Learning.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Reports on the 2014 AAAI Fall Symposium Series.
AI Mag., 2015

Learning Inter-Task Transferability in the Absence of Target Task Samples.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Online discovery of AUV control policies to overcome thruster failures.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Planning in Action Language BC while Learning Action Costs for Mobile Robots.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Planning in Answer Set Programming while Learning Action Costs for Mobile Robots.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
On-line identification of autonomous underwater vehicles through global derivative-free optimization.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012
Self-tuning batching in total order broadcast protocols via analytical modelling and reinforcement learning.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

Automatic Generation and Learning of Finite-State Controllers.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2012

Induction and learning of finite-state controllers from simulation.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Poster: selftuning batching in total order broadcast via analytical modelling and reinforcement learning.
SIGMETRICS Perform. Evaluation Rev., 2011

Reinforcement Learning through Global Stochastic Search in N-MDPs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
LearnPNP: A Tool for Learning Agent Behaviors.
Proceedings of the RoboCup 2010: Robot Soccer World Cup XIV [papers from the 14th annual RoboCup International Symposium, 2010

A probabilistic action duration model for plan selection and monitoring.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Improving the Performance of Complex Agent Plans Through Reinforcement Learning.
Proceedings of the Cognitive Robotics, 21.02. - 26.02.2010, 2010

On-line robot execution monitoring using probabilistic action duration.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010


  Loading...