Search Results - "improved multi-agent deep deterministic policy gradient algorithm"

Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation by Zheng, Shangfei, Liu, Hong

“…Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement learning for path planning in large-scale scenarios. In order to more…”
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PASCAL: PopulAtion-Specific Curriculum-based MADRL for collision-free flocking with large-scale fixed-wing UAV swarms by Yan, Chao, Xiang, Xiaojia, Wang, Chang, Li, Fei, Wang, Xiangke, Xu, Xin, Shen, Lincheng

“…). Specifically, PASCAL has two core components of policy learning and knowledge transfer. For policy learning, an improved multi-agent deep deterministic policy gradient algorithm is proposed to accelerate the learning process…”
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Interception of a Single Intruding Unmanned Aerial Vehicle by Multiple Missiles Using the Novel EA-MADDPG Training Algorithm by Cai, He, Li, Xingsheng, Zhang, Yibo, Gao, Huanli

“…This paper proposes an improved multi-agent deep deterministic policy gradient algorithm called the equal-reward and action-enhanced multi-agent deep deterministic policy gradient (EA-MADDPG…”
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Multi-agent cooperative encirclement based on improved MADDPG algorithm by Ai, Ling, Tang, Shaozhen, Yu, Jie

“…In this paper, we propose an improved Multi-agent Deep Deterministic Policy Gradient algorithm with a Priority Experience Replay mechanism (PER-MADDPG…”
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