„Reinforcement Learning“

Suchergebnisse

4.414 Treffer

• Intelligent ship traffic supervision system based on distributed blockchain and federated reinforcement learning for collaborative decision optimization
  Wei, Zhang ; Rongjun, Pan ; Shijie, Wang ; Meiqing, Chen
• Deep reinforcement learning with attention mechanisms for edge user allocation in internet of vehicles
  Yuan, Pengtao ; Su, Shengchao ; Fu, Wenlong
• A reward shaping approach used for end-to-end mapless navigation using deep reinforcement learning algorithm
  Priya, Anu ; Tiwari, Ritu ; Agrawal, Pooja ; Kumar, Sushant
• HGN-MAAERL: Hetergeneous graph neighborhood-based multi-agent asynchronous edge reinforcement learning for efficient multiple unmanned vehicles collaboration
  Huang, Feiyang ; Hu, Ruihan ; Cao, Qiming ; He, Xiangdong
• Block-type reinforcement learning based on matrix-based particle swarm optimization for base station deployment
  Zheng, Yangyang ; Wang, Leyi ; Shen, Jiaying ; Yu, Xiaoyi ; Hu, Jialing ; Ouyang, Zhaolong
• Deep Reinforcement Learning for Electric Vehicle Charging Management with Discrete–Continuous Hybrid Action Space
  Zhao, Qiang ; Jiang, Yanan ; Liu, Hui ; Han, Yinghua
• Deep gated hyperbolic sine reinforcement with Q learning based change detection and classification in satellite images
  Pujari, Jambukeshwar S. ; Wasim, Javed ; Tripathi, Aprna
• Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning
  Shiyu, Fang
• Backscatter communication and multi-agent reinforcement learning enable low-power digital twin system for rural elderly care
  Guo, Xiaoyan
• A heterogeneous graph neural network assisted multi-agent reinforcement learning for parallel service function chain deployment
  Ai, Yintan ; Li, Hua ; Ruan, Hongwei ; Liu, Hanlin
• Efficient evolutionary curriculum learning for scalable multi-agent reinforcement learning
  Li, Chao ; Liu, Yanfei ; Wang, Jieling ; Wang, Zhong ; Wang, Chengjin ; Tian, Qi
• A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows
  Mecanna, Selim ; Loisy, Aurore ; Eloy, Christophe
• Recurrent Neural Network Exploration Strategies During Reinforcement Learning Depend on Network Capacity
  Flimm, H. ; Tuzsus, D. ; Pappas, I. ; Peters, Jan
• Research on the implementation and effectiveness evaluation of deep reinforcement learning algorithms for portfolio optimisation
  Yunxiang, Gao ; Bangying, Tang
• Publisher Correction: A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows
  Mecanna, Selim ; Loisy, Aurore ; Eloy, Christophe
• Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer
  Oueslati, Raja ; Ouertani, Mohamed Wajdi ; Manita, Ghaith ; Chhabra, Amit
• Model-free group consensus of multi-agent systems using critic-only reinforcement learning
  Li, Chuanjian ; Wang, Xiaoping ; Zeng, Zhigang ; Huang, Tingwen
• Adaptive finite-time optimal control for flexible-joint robots via an identifier-critic-actor reinforcement learning algorithm
  Wang, Huanqing ; Jia, Sijia ; Liu, Siwen ; Liu, Xiaoping
• Automated detection of contradictions in 5G network specifications using reinforcement learning-trained small LLM
  Zhang, Wenbin ; Wei, Qiang ; Chen, Haowen ; Wang, Yunfeng
• Reinforcement learning-based optimal 3D path-following control incorporating state estimation for AUV under sparse sensor attacks and measurement disturbances
  Qiu, Ziyi ; Zhu, Zhechen ; Pan, Yingnan ; Lei, Yan