Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

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Deep Reinforcement Learning-Based Task Partitioning Ratio Decision Mechanism in High-Speed Rail Environments with Mobile Edge Computing Server by Seolwon Koo, Yujin Lim

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RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks by Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

“…Deep Reinforcement Learning (DRL) presents a promising avenue for optimizing Energy Storage Systems (ESSs) dispatch in distribution networks. …”
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A Reinforcement Learning-Based Dynamic Clustering of Sleep Scheduling Algorithm (RLDCSSA-CDG) for Compressive Data Gathering in Wireless Sensor Networks by Alaa N. El-Shenhabi, Ehab H. Abdelhay, Mohamed A. Mohamed, Ibrahim F. Moawad

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A Fully Controllable UAV Using Curriculum Learning and Goal-Conditioned Reinforcement Learning: From Straight Forward to Round Trip Missions by Hyeonmin Kim, Jongkwan Choi, Hyungrok Do, Gyeong Taek Lee

“…In our study, we present a path planning method using reinforcement learning (RL) for a fully controllable UAV agent. …”
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Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing by Sambi Reddy Gottam, Udit Narayana Kar

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Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

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An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments by Ting Jiao, Conglin Hu, Lingxin Kong, Xihao Zhao, Zhongbao Wang

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Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

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Quality assessment of cyber threat intelligence knowledge graph based on adaptive joining of embedding model by Bin Chen, Hongyi Li, Di Zhao, Yitang Yang, Chengwei Pan

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HPRS: hierarchical potential-based reward shaping from task specifications by Luigi Berducci, Edgar A. Aguilar, Dejan Ničković, Radu Grosu

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Robotization of Miniature-Scale Radio-Controlled Excavator: A New Medium for Construction- Specific DNN Data Generation by Seyedeh Fatemeh Saffari, Daeho Kim, Byungjoo Choi

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Goal-directed vocal planning in a songbird by Anja T Zai, Anna E Stepien, Nicolas Giret, Richard HR Hahnloser

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Digital Twin-Empowered Green Mobility Management in Next-Gen Transportation Networks by Kubra Duran, Lal Verda Cakir, Achille Fonzone, Trung Q. Duong, Berk Canberk

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Making virtual learning environment more intelligent: application of Markov decision process by Dalia Baziukaitė

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A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines by Mustafa COBAN, Gokhan GELEN

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Optimization of Jamming Type Selection for Countering Multifunction Radar Based on Generative Adversarial Imitation Learning by Tianjian Yang, You Chen, Siyi Cheng, Xing Wang, Xi Zhang

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Social observation differentially affects prosocial learning of selfish and prosocial people by Yuri Kim, Kun Il Kim, Hackjin Kim

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BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation by David Jozef Hresko, Peter Drotar

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Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things by Jinlong Wang, Yixin Li, Yunting Wu, Wenhu Zheng, Shangzhuo Zhou, Xiaoyun Xiong

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