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Mirco Theile
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2020 – today
- 2026
[i16]Raphael Trumpp, Denis Hoornaert, Mirco Theile, Marco Caccamo:
Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization. CoRR abs/2603.12960 (2026)- 2025
[j5]Mirco Theile, Binqi Sun, Marco Caccamo:
Position paper: deep reinforcement learning for real-time resource management. Real Time Syst. 61(2): 288-293 (2025)
[j4]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:
Quasi-Static Scheduling for Deterministic Timed Concurrent Models on Multi-Core Hardware. ACM Trans. Embed. Comput. Syst. 24(5s): 150:1-150:25 (2025)
[c10]Binqi Sun, Zhihang Wei, Andrea Bastoni, Debayan Roy, Mirco Theile, Tomasz Kloda, Rodolfo Pellizzoni, Marco Caccamo:
Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems. ECRTS 2025: 2:1-2:23
[c9]Tobias Geissenberger, Elio Challita, Mirco Theile, Robert J. Wood, Justin Werfel:
Sensorizing High-Aspect-Ratio Soft Robots: Towards Closed-Loop Applications for Grasping and Locomotion. RoboSoft 2025: 1-7
[i15]Raphael Trumpp, Ansgar Schäfftlein, Mirco Theile, Marco Caccamo:
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning. CoRR abs/2503.05546 (2025)
[i14]Mirco Theile, Andres R. Zapata Rodriguez, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning. CoRR abs/2505.08382 (2025)
[i13]Binqi Sun, Zhihang Wei, Andrea Bastoni, Debayan Roy, Mirco Theile, Tomasz Kloda, Rodolfo Pellizzoni, Marco Caccamo:
Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems. CoRR abs/2505.11554 (2025)- 2024
[b1]Mirco Theile:
Modeling Planning, Control, and Scheduling of Cyber-Physical Systems for Reinforcement Learning. Technical University of Munich, Germany, 2024
[j3]Mirco Theile
, Daniele Bernardini
, Raphael Trumpp
, Cristina Piazza
, Marco Caccamo
, Alberto L. Sangiovanni-Vincentelli
:
Learning to Generate All Feasible Actions. IEEE Access 12: 40668-40681 (2024)
[j2]Binqi Sun
, Mirco Theile
, Ziyuan Qin
, Daniele Bernardini
, Debayan Roy, Andrea Bastoni
, Marco Caccamo
:
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning. IEEE Trans. Computers 73(4): 1034-1047 (2024)
[c8]Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. IROS 2024: 14164-14171
[i12]Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. CoRR abs/2403.12856 (2024)
[i11]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:
PretVM: Predictable, Efficient Virtual Machine for Real-Time Concurrency. CoRR abs/2406.06253 (2024)
[i10]Mirco Theile, Lukas Dirnberger, Raphael Trumpp, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Action Mapping for Reinforcement Learning in Continuous Environments with Constraints. CoRR abs/2412.04327 (2024)- 2023
[i9]Mirco Theile
, Daniele Bernardini
, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Generate All Feasible Actions. CoRR abs/2301.11461 (2023)
[i8]Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini
, Debayan Roy, Andrea Bastoni, Marco Caccamo:
Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning. CoRR abs/2308.14647 (2023)
[i7]Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. CoRR abs/2309.03157 (2023)- 2022
[c7]Hongpeng Cao, Mirco Theile
, Federico G. Wyrwal, Marco Caccamo:
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. IROS 2022: 9363-9370
[i6]Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo:
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. CoRR abs/2203.02230 (2022)- 2021
[j1]Harald Bayerlein
, Mirco Theile
, Marco Caccamo, David Gesbert
:
Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. IEEE Open J. Commun. Soc. 2: 1171-1187 (2021)
[c6]Mirco Theile
, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. ICAR 2021: 539-546
[i5]Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo:
Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering. CoRR abs/2107.09973 (2021)- 2020
[c5]Harald Bayerlein, Mirco Theile
, Marco Caccamo, David Gesbert
:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. GLOBECOM 2020: 1-6
[c4]Mirco Theile
, Harald Bayerlein, Richard Nai, David Gesbert
, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. IROS 2020: 1444-1449
[c3]Micaela Verucchi, Mirco Theile
, Marco Caccamo, Marko Bertogna:
Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. RTAS 2020: 226-238
[i4]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. CoRR abs/2003.02609 (2020)
[i3]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. CoRR abs/2007.00544 (2020)
[i2]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. CoRR abs/2010.06917 (2020)
[i1]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning. CoRR abs/2010.12461 (2020)
2010 – 2019
- 2019
[c2]Mirco Theile
, Simon Yu, Or D. Dantsker, Marco Caccamo:
Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs. IROS 2019: 1971-1977- 2018
[c1]Mirco Theile
, Or D. Dantsker, Richard Nai, Marco Caccamo:
uavEE: A Modular, Power-Aware Emulation Environment for Rapid Prototyping and Testing of UAVs. RTCSA 2018: 217-224
Coauthor Index

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last updated on 2026-07-28 00:33 CEST by the dblp team
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