These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

321 related articles for article (PubMed ID: 34828131)

  • 1. An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning.
    Wan K; Wu D; Zhai Y; Li B; Gao X; Hu Z
    Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828131
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Game of Drones: Multi-UAV Pursuit-Evasion Game With Online Motion Planning by Deep Reinforcement Learning.
    Zhang R; Zong Q; Zhang X; Dou L; Tian B
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7900-7909. PubMed ID: 35157597
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm.
    Zhao M; Wang G; Fu Q; Guo X; Chen Y; Li T; Liu X
    Front Neurorobot; 2023; 17():1243174. PubMed ID: 37811355
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adversarial Decision-Making for Moving Target Defense: A Multi-Agent Markov Game and Reinforcement Learning Approach.
    Yao Q; Wang Y; Xiong X; Wang P; Li Y
    Entropy (Basel); 2023 Apr; 25(4):. PubMed ID: 37190393
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intelligent maneuver strategy for hypersonic vehicles in three-player pursuit-evasion games via deep reinforcement learning.
    Yan T; Jiang Z; Li T; Gao M; Liu C
    Front Neurosci; 2024; 18():1362303. PubMed ID: 38426020
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Applying Reinforcement Learning for Enhanced Cybersecurity against Adversarial Simulation.
    Oh SH; Jeong MK; Kim HC; Park J
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991711
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties.
    Zhang L; Prorok A; Bhattacharya S
    Front Robot AI; 2021; 8():691637. PubMed ID: 34485390
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multirobot Collaborative Pursuit Target Robot by Improved MADDPG.
    Zhou X; Zhou S; Mou X; He Y
    Comput Intell Neurosci; 2022; 2022():4757394. PubMed ID: 35251150
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Multi-Task Fusion Strategy-Based Decision-Making and Planning Method for Autonomous Driving Vehicles.
    Liu W; Xiang Z; Fang H; Huo K; Wang Z
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631557
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Policy Gradient Algorithm to Alleviate the Multi-Agent Value Overestimation Problem in Complex Environments.
    Yang Y; Li J; Hou J; Wang Y; Zhao H
    Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067892
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dynamic Navigation and Area Assignment of Multiple USVs Based on Multi-Agent Deep Reinforcement Learning.
    Wen J; Liu S; Lin Y
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146291
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making.
    Wang Z; Jin X; Zhang T; Li J; Yu D; Cheong KH; Chen CLP
    IEEE Trans Cybern; 2024 Mar; 54(3):1614-1624. PubMed ID: 37015659
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pursuit and Evasion Strategy of a Differential Game Based on Deep Reinforcement Learning.
    Xu C; Zhang Y; Wang W; Dong L
    Front Bioeng Biotechnol; 2022; 10():827408. PubMed ID: 35392407
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Toward Energy-Efficient Routing of Multiple AGVs with Multi-Agent Reinforcement Learning.
    Ye X; Deng Z; Shi Y; Shen W
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420781
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reinforcement learning-based formation-surrounding control for multiple quadrotor UAVs pursuit-evasion games.
    Xiong H; Zhang Y
    ISA Trans; 2024 Feb; 145():205-224. PubMed ID: 38105171
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach.
    Qi H; Huang H; Hu Z; Wen X; Lu Z
    Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32422964
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Power Allocation and Energy Cooperation for UAV-Enabled MmWave Networks: A Multi-Agent Deep Reinforcement Learning Approach.
    Domingo MC
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009812
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep reinforcement learning and its applications in medical imaging and radiation therapy: a survey.
    Xu L; Zhu S; Wen N
    Phys Med Biol; 2022 Nov; 67(22):. PubMed ID: 36270582
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Robust Mean-Field Actor-Critic Reinforcement Learning Against Adversarial Perturbations on Agent States.
    Zhou Z; Liu G; Zhou M
    IEEE Trans Neural Netw Learn Syst; 2024 Oct; 35(10):14370-14381. PubMed ID: 37276092
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sample-efficient multi-agent reinforcement learning with masked reconstruction.
    Kim JI; Lee YJ; Heo J; Park J; Kim J; Lim SR; Jeong J; Kim SB
    PLoS One; 2023; 18(9):e0291545. PubMed ID: 37708154
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.