• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,770 matches

• 2025
• 
  Jingkang Wang, Shuang Liang, Mingming Guo, Heng Wang, Hua Zhang:
  Adaptive multimodal control of trans-media vehicle based on deep reinforcement learning. Eng. Appl. Artif. Intell. 139: 109524 (2025)
• 
  Shuhuan Wen, Yili Shu, Ahmad B. Rad, Zeteng Wen, Zhengzheng Guo, Simeng Gong:
  A deep residual reinforcement learning algorithm based on Soft Actor-Critic for autonomous navigation. Expert Syst. Appl. 259: 125238 (2025)
• 2024
• 
  Da Jiang, Ling Du, Shuhui Li, Meijing Wang, Hongchao Zhang, Xiaole Chen, Yunlong Sun:
  An Improved Dynamic Window Approach Based on Reinforcement Learning for the Trajectory Planning of Automated Guided Vehicles. IEEE Access 12: 36016-36025 (2024)
• 
  Shunya Kidera, Kosuke Shintani, Toi Tsuneda, Satoshi Yamane:
  Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning. IEEE Access 12: 19942-19951 (2024)
• 
  Wangyang Liu, Qingsheng Feng, Shuai Xiao, Hong Li:
  Automatic Tracking Control Strategy of Autonomous Trains Considering Speed Restrictions: Using the Improved Offline Deep Reinforcement Learning Method. IEEE Access 12: 75426-75441 (2024)
• 
  Mingwei Zhang, Yage Li, Shuping Li, Yinchu Wang, Jing Yan:
  Knowledge Graph-Enhanced Hierarchical Reinforcement Learning for Interactive and Explainable Recommendation. IEEE Access 12: 137345-137359 (2024)
• 
  Shupei Zhang, Huapeng Shi, Wei Zhang, Ying Pang, Pengju Sun:
  Real-Time Multi-Vehicle Scheduling in Tasks With Dependency Relationships Using Multi-Agent Reinforcement Learning. IEEE Access 12: 81453-81470 (2024)
• 
  Zhezhuang Xu, Jinlong Wang, Meng Yuan, Yazhou Yuan, Boyu Chen, Qingdong Zhang, Cailian Chen, Xinping Guan:
  Joint optimization of steel plate shuffling and truck loading sequencing based on deep reinforcement learning. Adv. Eng. Informatics 60: 102392 (2024)
• 
  Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang:
  A novel method for intersecting machining feature segmentation via deep reinforcement learning. Adv. Eng. Informatics 59: 102256 (2024)
• 
  Shuai Yuan, Yongqiang Liu, Yongnan Liu, Kun Zhang, Yongkang Li, Reifat Enwer, Yaqian Li, Qingwu Hu:
  Spatiotemporal variations of surface albedo in Central Asia and its influencing factors and confirmatory path analysis during the 21st century. Int. J. Appl. Earth Obs. Geoinformation 134: 104233 (2024)
• 
  Shuo Feng, Jian Cao, Zehong Ou, Guang Chen, Yi Zhong, Zilin Wang, Juntong Yan, Jue Chen, Bingsen Wang, Chenglong Zou, Zebang Feng, Yuan Wang:
  BrainQN: Enhancing the Robustness of Deep Reinforcement Learning with Spiking Neural Networks. Adv. Intell. Syst. 6(9) (2024)
• 
  Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
  Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring. Adv. Intell. Syst. 6(8) (2024)
• 
  Depeng Gao, Shuai Wang, Yuwei Yang, Haifei Zhang, Hao Chen, Xiangxiang Mei, Shuxi Chen, Jianlin Qiu:
  An Intelligent Control Method for Servo Motor Based on Reinforcement Learning. Algorithms 17(1): 14 (2024)
• 
  Xiaoheng Deng, Shunmeng Yin, Xinjun Pei, Lixin Lin, Xuechen Chen, Jinsong Gui:
  E-DBRL: efficient double broad reinforcement learning for adaptive traffic signal control. Appl. Intell. 54(17-18): 8563-8575 (2024)
• 
  Lin Huo, Jianlin Mao, Hongjun San, Shufan Zhang, Ruiqi Li, Lixia Fu:
  Efficient and stable deep reinforcement learning: selective priority timing entropy. Appl. Intell. 54(20): 10224-10241 (2024)
• 
  Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni:
  Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. Autom. 164: 111642 (2024)
• 
  Min Zhao, Guoyu Zuo, Shuangyue Yu, Daoxiong Gong, Zihao Wang, Sié Ouattara:
  Position-aware pushing and grasping synergy with deep reinforcement learning in clutter. CAAI Trans. Intell. Technol. 9(3): 738-755 (2024)
• 
  Yin Tang, Zengjian Ye, Yongjian Chen, Jie Lu, Shuqiang Huang, Jian Zhang:
  Regulating the imbalance for the container relocation problem: A deep reinforcement learning approach. Comput. Ind. Eng. 191: 110111 (2024)
• 
  Chaogang Tang, Zhao Li, Shuo Xiao, Huaming Wu, Wei Chen:
  A bandwidth-fair migration-enabled task offloading for vehicular edge computing: a deep reinforcement learning approach. CCF Trans. Pervasive Comput. Interact. 6(3): 255-270 (2024)
• 
  Walid K. Ghamry, Suzan Shukry:
  Multi-objective intelligent clustering routing schema for internet of things enabled wireless sensor networks using deep reinforcement learning. Clust. Comput. 27(4): 4941-4961 (2024)
• 
  Jianlan Wang, Zhendong Wang, Donglin Zhu, Shuxin Yang, Junling Wang, Dahai Li:
  Reinforcement learning marine predators algorithm for global optimization. Clust. Comput. 27(7): 9137-9190 (2024)
• 
  Zhiwei Liu, Zhaogang Shu, Shuwu Chen, Yiwen Zhong, Jiaxiang Lin:
  Low-latency Virtual Network function Scheduling Algorithm Based on Deep Reinforcement Learning. Comput. Networks 246: 110418 (2024)
• 
  Hai Li, Jinyang Yu, Lili Cao, Qin Zhang, Zhengyu Song, Shujuan Hou:
  Multi-agent reinforcement learning based computation offloading and resource allocation for LEO Satellite edge computing networks. Comput. Commun. 222: 268-276 (2024)
• 
  Shu Yang, Yaofeng Liu, Laizhong Cui, Yidong Peng, Zhiqiang Li, Victor C. M. Leung:
  ER-OCN: Toward efficient network routing in ocean city based on deep reinforcement learning. Comput. Commun. 222: 97-107 (2024)
• 
  Nianxin Li, Linbo Zhai, Shudian Song, Xiumin Zhu, Yumei Li, Feng Yang:
  Cache allocation policy based on user preference using reinforcement learning in mobile edge computing. Concurr. Comput. Pract. Exp. 36(15) (2024)
• 
  Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson, Alexis Bregeon, Ali Baheri, Peng Wei:
  A survey on reinforcement learning in aviation applications. Eng. Appl. Artif. Intell. 136: 108911 (2024)
• 
  Zakka Ugih Rizqi, Shuo-Yan Chou:
  Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount. Eng. Appl. Artif. Intell. 134: 108670 (2024)
• 
  Mingze Xu, Shunbo Lei, Chong Wang, Liang Liang, Junhua Zhao, Chaoyi Peng:
  Resilient dynamic microgrid formation by deep reinforcement learning integrating physics-informed neural networks. Eng. Appl. Artif. Intell. 138: 109470 (2024)
• 
  Shuyuan Zhang, Wenguang Chen, Jinjun Xu, Tianyu Xie:
  Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the perspective of compressive strength and splitting tensile strength. Eng. Appl. Artif. Intell. 137: 109170 (2024)
• 
  Junjie Zhang, Caixia Liu, Shuxin Liu, Kai Wang, Weifei Zang:
  Percolation Transitions in Edge-Coupled Interdependent Networks with Reinforced Inter-Layer Links. Entropy 26(8): 693 (2024)

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