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Safe Deep Reinforcement Learning Based on Sample Value Evaluation
2022 IEEE 16th International Conference on Anti-counterfeiting, Security, and Identification (ASID), 2022Rongjun Ye, Hao Wang, Huan Li
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Intelligent Control of Aeroengines Based on Safe Deep Reinforcement Learning
2023 35th Chinese Control and Decision Conference (CCDC), 2023Lijun Liu +5 more
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IEEE Transactions on Information Forensics and Security, 2022
Xiaozhen Lu, Xiangyang Ji, Qian Wang
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Xiaozhen Lu, Xiangyang Ji, Qian Wang
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Deep Reinforcement Learning for Autonomous Driving: A Survey
IEEE Transactions on Intelligent Transportation Systems, 2022Patrick Mannion +2 more
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Training-efficient deep reinforcement learning for safe autonomous driving
Autonomous driving holds the potential to transform the transportation industry, offering significant improvements in safety, efficiency, and convenience. However, traditional model-based planning approaches struggle to address the complexities and uncertainties of real-world driving environments.openaire +1 more source
Safe Deep Reinforcement Learning Control of Type 1 Diabetes
Achieving safe and autonomous glycemic regulation for Type-1 Diabetes care is an urgent challenge. Although Reinforcement Learning (RL) emerged as a promising paradigm, practical deployment is hindered by the risk of uncontrolled hyperglycemia or hypoglycemia.Federico BALDISSERI +7 more
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