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Hongpeng Cao
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2020 – today
- 2024
- [c5]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings. ICLR 2024 - [i9]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) - [i8]Yihao Cai, Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Simplex-enabled Safe Continual Learning Machine. CoRR abs/2409.05898 (2024) - 2023
- [j1]Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo:
6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping. Frontiers Robotics AI 10 (2023) - [c4]Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games. AAAI 2023: 15340-15349 - [c3]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees. CDC 2023: 8306-8311 - [c2]Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo:
Flexible Gear Assembly with Visual Servoing and Force Feedback. IROS 2023: 8276-8282 - [i7]Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo:
Flexible Gear Assembly With Visual Servoing and Force Feedback. CoRR abs/2303.03153 (2023) - [i6]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physical Deep Reinforcement Learning Towards Safety Guarantee. CoRR abs/2303.16860 (2023) - [i5]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physical Deep Reinforcement Learning: Safety and Unknown Unknowns. CoRR abs/2305.16614 (2023) - 2022
- [c1]Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo:
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. IROS 2022: 9363-9370 - [i4]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) - [i3]Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Sandboxing (AI-based) Unverified Controllers in Stochastic Games: An Abstraction-based Approach with Safe-visor Architecture. CoRR abs/2203.14924 (2022) - [i2]Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo:
Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications. CoRR abs/2208.14288 (2022) - 2021
- [i1]Bingzhuo Zhong, Abolfazl Lavaei, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems. CoRR abs/2102.05490 (2021)
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last updated on 2024-10-10 21:07 CEST by the dblp team
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