Results 11 to 20 of about 130 (109)
Deep Reinforcement Learning Under Signal Temporal Logic Constraints Using Lagrangian Relaxation
IEEE Access, 2022 Deep reinforcement learning (DRL) has attracted much attention as an approach to solve optimal control problems without mathematical models of systems. On the other hand, in general, constraints may be imposed on optimal control problems.
Junya Ikemoto, Toshimitsu Ushio
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Controllable Summarization with Constrained Markov Decision Process
Transactions of the Association for Computational Linguistics, 2021 We study controllable text summarization, which allows users to gain control on a particular attribute (e.g., length limit) of the generated summaries. In this work, we propose a novel training framework based on Constrained Markov Decision Process (CMDP)
Hou Pong Chan, Lu Wang, Irwin King
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Reliability-guaranteed multipath allocation algorithm in mobile network
ETRI Journal, 2022 The mobile network allows redundant transmission via disjoint paths to support high-reliability communication (e.g., ultrareliable and low-latency communications [URLLC]).
Jaewook Lee, Haneul Ko
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Dynamic Virtual Resource Allocation for 5G and Beyond Network Slicing
IEEE Open Journal of Vehicular Technology, 2020 The fifth generation and beyond wireless communication will support vastly heterogeneous services and user demands such as massive connection, low latency and high transmission rate.
Fei Song +5 more
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IEEE Access, 2020 In energy harvesting Internet of Things (IoT) systems, the age of information (AoI) should be maintained at a low level to guarantee the accuracy and reliability of derived decisions.
Haneul Ko +3 more
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Mitigating Security Challenges in 5G Wireless Networks [PDF]
E3S Web of Conferences5G networks increasingly rely on key enabling technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), Multi-Access Edge Computing (MEC), and end-to-end network slicing to deliver heterogeneous services with strict ...
Philip-Kpae Friday Oodee +3 more
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IEEE Access, 2018 Additive manufacturing (AM) provides a greater level of flexibility to produce a 3-D part with complex geometries directly from the design. However, the widespread application of AM is currently hampered by technical challenges in process repeatability ...
Bing Yao, Hui Yang
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EnergiesRenewable energy systems dominated by powered electronic devices generally exhibit weak disturbance tolerance and limited grid-support capability. Following the blocking of a flexible DC transmission system, emergency load shedding in renewable-rich grid
Qiushi Fang +8 more
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EURASIP Journal on Advances in Signal Processing, 2010 In this paper, we investigate the cross-layer design of joint channel access and transmission rate adaptation in CR networks with multiple channels for both centralized and decentralized cases. Our target is to maximize the throughput of CR network under
Jiang Zhu, Shaoqian Li, Jun Wang, Hao He
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Q-Sorting: An Algorithm for Reinforcement Learning Problems with Multiple Cumulative Constraints
MathematicsThis paper proposes a method and an algorithm called Q-sorting for reinforcement learning (RL) problems with multiple cumulative constraints. The primary contribution is a mechanism for dynamically determining the focus of optimization among multiple ...
Jianfeng Huang +3 more
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