Výsledky vyhľadávania - "twin delayed deep deterministic algorithm"

MP-TD3: Multi-Pool Prioritized Experience Replay-Based Asynchronous Twin Delayed Deep Deterministic Policy Gradient Algorithm Autor Tan, Wenwen, Huang, Detian

“…The prioritized experience replay mechanisms have achieved remarkable success in accelerating the convergence of reinforcement learning algorithms. However,…”
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A Weighted Critic Update Approach to Multi Agent Twin Delayed Deep Deterministic Algorithm Autor Sarkar, Tamal, Kalita, Shobhanjana

“…Multi-Agent Reinforcement Learning (MARL) has gained a lot more focus in the recent years because of its widespread use in multi-agent systems like autonomous…”
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A cross-platform deep reinforcement learning model for autonomous navigation without global information in different scenes Autor Cheng, Chuanxin, Zhang, Hao, Sun, Yuan, Tao, Hongfeng, Chen, Yiyang

“…This paper employs a deep reinforcement learning algorithm named Twin Delayed Deep Deterministic algorithm into autonomous navigation in intelligent transportation systems…”
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Energy Efficient Resource Allocation Approach for Uplink NOMA Multi-Cell Systems Based on Multi-Agent DRL Autor Rabee, Ayman, Barhumi, Imad

“… In this approach, we adopt the multi-agent twin delayed deep deterministic algorithm (MATD3) for the power allocation and deep Q network for the cell association and subchannel assignment…”
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Fault Recovery Methods for a Converged System Comprised of Power Grids, Transportation Networks and Information Networks Autor Zhang, Geng, Liu, Chenxu, Jiang, Hao, Wang, Jiye

“…Recently, triple-network convergence systems (TNCS) have emerged from the deep integration of the power grid, transportation networks, and information…”
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Energy-Efficient Resource Management for Multi-UAV NOMA Networks Based on Deep Reinforcement Learning Autor Lin, Xiangda, Yang, Helin, Lin, Kailong, Xiao, Liang, Shi, Zhaoyuan, Yang, Wanting, Xiong, Zehui

“…) to reduce mutual interference. Moreover, a cooperative multi-agent twin delayed deep deterministic algorithm is proposed to jointly optimize UAVs' trajectories, power allocation and GU association to maximize the system energy efficiency (EE…”
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Twin Delayed DRL Approach for Resource Allocation in Multi-User NOMA Systems Autor Rabee, Ayman, Barhumi, Imad

“… In this approach, we adopt the twin delayed deep deterministic algorithm for the power allocation and deep Q network for the subchannel assignment…”
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