Mirco Theile - RankMe

32 papers A 5B 3Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization. CoRR Raphael Trumpp, Denis Hoornaert, Mirco Theile, Marco Caccamo
2025	J	`jnl`	Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning. CoRR Mirco Theile, Andres R. Zapata Rodriguez, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2025	J	`jnl`	Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning. CoRR Raphael Trumpp, Ansgar Schäfftlein, Mirco Theile, Marco Caccamo
2025	B	`conf`	Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems. ECRTS Binqi Sun, Zhihang Wei, Andrea Bastoni, Debayan Roy, Mirco Theile, Tomasz Kloda, Rodolfo Pellizzoni, Marco Caccamo
2025	J	`jnl`	Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems. CoRR Binqi Sun, Zhihang Wei, Andrea Bastoni, Debayan Roy, Mirco Theile, Tomasz Kloda, Rodolfo Pellizzoni, Marco Caccamo
2025	J	`jnl`	Position paper: deep reinforcement learning for real-time resource management. Real Time Syst. Mirco Theile, Binqi Sun, Marco Caccamo
2025	J	`jnl`	Quasi-Static Scheduling for Deterministic Timed Concurrent Models on Multi-Core Hardware. ACM Trans. Embed. Comput. Syst. Shaokai Lin, Erling Jellum, Mirco Theile, Tassilo Tanneberger, Binqi Sun, Chadlia Jerad, Yimo Xu, Guangyu Feng, Magnus Mæhlum, Jian-Jia Chen, Martin Schoeberl, Linh Thi Xuan Phan, Jerónimo Castrillón, Sanjit A. Seshia, Edward A. Lee
2025	—	`conf`	Sensorizing High-Aspect-Ratio Soft Robots: Towards Closed-Loop Applications for Grasping and Locomotion. RoboSoft Tobias Geissenberger, Elio Challita, Mirco Theile, Robert J. Wood, Justin Werfel
2024	J	`jnl`	Action Mapping for Reinforcement Learning in Continuous Environments with Constraints. CoRR Mirco Theile, Lukas Dirnberger, Raphael Trumpp, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2024	J	`jnl`	Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning. IEEE Trans. Computers Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo
2024	A	`conf`	Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. IROS Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2024	J	`jnl`	Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. CoRR Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2024	J	`jnl`	Learning to Generate All Feasible Actions. IEEE Access Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2024	—	`—`	Modeling Planning, Control, and Scheduling of Cyber-Physical Systems for Reinforcement Learning. Mirco Theile
2024	J	`jnl`	PretVM: Predictable, Efficient Virtual Machine for Real-Time Concurrency. CoRR Shaokai Lin, Erling Rennemo Jellum, Mirco Theile, Tassilo Tanneberger, Binqi Sun, Chadlia Jerad, Ruomu Xu, Guangyu Feng, Christian Menard, Marten Lohstroh, Jerónimo Castrillón, Sanjit A. Seshia, Edward A. Lee
2023	J	`jnl`	Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning. CoRR Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo
2023	J	`jnl`	Learning to Generate All Feasible Actions. CoRR Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2023	J	`jnl`	Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. CoRR Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2022	A	`conf`	Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. IROS Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo
2022	J	`jnl`	Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. CoRR Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo
2021	J	`jnl`	Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering. CoRR Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo
2021	J	`jnl`	Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. IEEE Open J. Commun. Soc. Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2021	—	`conf`	UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. ICAR Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2020	A	`conf`	Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. RTAS Micaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna
2020	J	`jnl`	Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning. CoRR Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2020	A	`conf`	UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. IROS Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2020	J	`jnl`	UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. CoRR Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2020	B	`conf`	UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. GLOBECOM Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2020	J	`jnl`	UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. CoRR Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2020	J	`jnl`	UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. CoRR Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2019	A	`conf`	Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs. IROS Mirco Theile, Simon Yu, Or D. Dantsker, Marco Caccamo
2018	B	`conf`	uavEE: A Modular, Power-Aware Emulation Environment for Rapid Prototyping and Testing of UAVs. RTCSA Mirco Theile, Or D. Dantsker, Richard Nai, Marco Caccamo