Learning-based page replacement scheme for efficient I/O processing by Hwajung Kim

Subjects: “…Reinforcement Learning…”
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Retracted: An Efficient and Reliable Routing Method for Hybrid Mobile Ad Hoc Networks Using Deep Reinforcement Learning by Applied Bionics and Biomechanics

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Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

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Retracted: Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends by Journal of Advanced Transportation

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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

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Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

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Coordinated Volt/VAR Control in Distribution Networks Considering Demand Response via Safe Deep Reinforcement Learning by Dong Hua, Fei Peng, Suisheng Liu, Qinglin Lin, Jiahui Fan, Qian Li

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Dynamic Task Planning for Multi-Arm Harvesting Robots Under Multiple Constraints Using Deep Reinforcement Learning by Feng Xie, Zhengwei Guo, Tao Li, Qingchun Feng, Chunjiang Zhao

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The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth by Motofumi Sumiya, Kentaro Katahira, Hironori Akechi, Atsushi Senju

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Optimizing fast charging protocols for lithium-ion batteries using reinforcement learning: Balancing speed, efficiency, and longevity by Khairy Sayed, Mahmoud Aref, Mishari Metab Almalki, Mahmoud A. Mossa

Subjects: “…Reinforcement learning…”
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CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

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Event-Trigger Reinforcement Learning-Based Coordinate Control of Modular Unmanned System via Nonzero-Sum Game by Yebao Liu, Tianjiao An, Jianguo Chen, Luyang Zhong, Yuhan Qian

Subjects: “…reinforcement learning…”
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Reinforcement learning based recovery flight control for flapping-wing micro-aerial vehicles under extreme attitudes by Yang Yu, Qiang Lu, Botao Zhang

“…This article deals with the recovery flight problem of flapping-wing micro-aerial vehicles under extreme attitude by using a reinforcement learning approach. First, the reinforcement learning-based control policy is proposed to enable the flapping-wing micro-aerial vehicles to be recovery flight rapidly and keep the angular acceleration as small as possible. …”
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Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing by Zihan Li, Ping Wang, Yamin Shen, Song Li

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Learning from Demonstrations and Human Evaluative Feedbacks: Handling Sparsity and Imperfection Using Inverse Reinforcement Learning Approach by Nafee Mourad, Ali Ezzeddine, Babak Nadjar Araabi, Majid Nili Ahmadabadi

“…Here, we enhance the inverse reinforcement learning (IRL) to estimate the reward function using a mixture of nonoptimal and sparse demonstrations and evaluative feedbacks. …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

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Combining Software-Defined and Delay-Tolerant Networking Concepts With Deep Reinforcement Learning Technology to Enhance Vehicular Networks by Olivia Nakayima, Mostafa I. Soliman, Kazunori Ueda, Samir A. Elsagheer Mohamed

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Retracted: Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Gastroenterology Research and Practice

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