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浏览/检索结果: 共199条，第1-10条

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	Reinforcement Learning in Process Industries: Review and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/01/23 Process control process systems engineering reinforcement learning
	UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445 作者: Jiawen Kang; Junlong Chen; Minrui Xu; Zehui Xiong; Yutao Jiao 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/01/23 Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs
	Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文 MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25 作者: Peng, Shaoming; Xiong, Gang; Yang, Jing; Shen, Zhen; Tamir, Tariku Sinshaw 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/03/13 production planning and scheduling multi-agent reinforcement learning flexible job shop path flexibility technological flexibility
	A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893 作者: Su, Shuai; Zhu, Qingyang; Liu, Junqing; Tang, Tao; Wei, Qinglai 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/11/17 Deep reinforcement learning (RL) driving strategy energy-efficient train control (EETC) soft actorcritic (SAC)
	Sample-Observed Soft Actor-Critic Learning for Path Following of a Biomimetic Underwater Vehicle 期刊论文 IEEE Transactions on Automation Science and Engineering, 2023, 页码: 1-10 作者: Ma, Ruichen; Wang, Yu; Wang, Shuo; Cheng, Long; Wang, Rui 收藏 \| 浏览/下载：10/0 \| 提交时间：2023/08/03
	Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831 作者: Lu, Jingwei; Han, Liyuan; Wei, Qinglai; Wang, Xiao; Dai, Xingyuan 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Autonomous vehicles Decision making Path planning Training Optimal control Deep learning Complex systems Autonomous driving deep reinforcement learning deep Q-network event-triggered control parallel control
	Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2400-2414 作者: Li, Chao; Liu, Fagui; Wang, Bin; Chen, C. L. Philip; Tang, Xuhao 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/17 Task analysis Intelligent vehicles Optimization Processor scheduling Vehicle dynamics Heuristic algorithms Costs Deep reinforcement learning (DRL) scheduling policy tracking service vehicular edge computing (VEC)
	A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334 作者: Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong 收藏 \| 浏览/下载：6/0 \| 提交时间：2023/05/29 Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process
	A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12 作者: Wei, Qinglai; Yan, Yutian; Zhang, Jie; Xiao, Jun; Wang, Cong 收藏 \| 浏览/下载：15/0 \| 提交时间：2023/01/09 Automated guided vehicle (AGV) dispatching deep learning reinforcement learning (RL) self-attention
	Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method 期刊论文 Ad Hoc Networks, 2022, 卷号: 136 作者: Xue, Jianbin; Wu, Qingqing; Zhang, Haijun 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/09/22 Antennas computation offloading Convex optimization Cost effectiveness Deep learning Energy utilization Learning algorithms Learning systems Markov processes Mobile edge computing Multi agent systems Power control Reinforcement learning Unmanned aerial vehicles (UAV) Aerial vehicle Computation offloading Costs Optimization Deep reinforcement learning Edge computing Multi-access edge computing Multiaccess Reinforcement learnings Unmanned aerial vehicle User equipments

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