Mirco Theile

According to our database, Mirco Theile authored at least 21 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Position paper: deep reinforcement learning for real-time resource management.

Mirco Theile, Binqi Sun, Marco Caccamo

Real Time Syst., June, 2025

Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning.

Mirco Theile, Andres R. Zapata Rodriguez, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

CoRR, May, 2025

Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning.

Raphael Trumpp, Ansgar Schäfftlein, Mirco Theile, Marco Caccamo

CoRR, March, 2025

Sensorizing High-Aspect-Ratio Soft Robots: Towards Closed-Loop Applications for Grasping and Locomotion.

Tobias Geissenberger, Elio Challita, Mirco Theile, Robert J. Wood, Justin Werfel

Proceedings of the 8th IEEE International Conference on Soft Robotics, 2025

Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems.

Binqi Sun, Zhihang Wei, Andrea Bastoni, Debayan Roy, Mirco Theile, Tomasz Kloda, Rodolfo Pellizzoni, Marco Caccamo

Proceedings of the 37th Euromicro Conference on Real-Time Systems, 2025

2024

Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning.

Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo

IEEE Trans. Computers, April, 2024

Modeling Planning, Control, and Scheduling of Cyber-Physical Systems for Reinforcement Learning.

Mirco Theile

PhD thesis, 2024

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints.

Mirco Theile, Lukas Dirnberger, Raphael Trumpp, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

CoRR, 2024

PretVM: Predictable, Efficient Virtual Machine for Real-Time Concurrency.

Shaokai Lin, Erling Rennemo Jellum, Mirco Theile, Tassilo Tanneberger, Binqi Sun, Chadlia Jerad, Ruomu Xu, Guangyu Feng, Christian Menard, Marten Lohstroh, Jerónimo Castrillón, Sanjit Seshia, Edward A. Lee

CoRR, 2024

Learning to Generate All Feasible Actions.

Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

IEEE Access, 2024

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning.

Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning.

Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

CoRR, 2023

2022

Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning.

Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning.

Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert

IEEE Open J. Commun. Soc., 2021

Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering.

Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo

CoRR, 2021

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning.

Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo

Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020

Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets.

Micaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna

Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2020

UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning.

Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach.

Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert

Proceedings of the IEEE Global Communications Conference, 2020

2019

Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs.

Mirco Theile, Simon Yu, Or D. Dantsker, Marco Caccamo

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

uavEE: A Modular, Power-Aware Emulation Environment for Rapid Prototyping and Testing of UAVs.

Mirco Theile, Or D. Dantsker, Richard Nai, Marco Caccamo

Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018