Multi-Agent DRL Approach for Energy-Efficient Resource Allocation in URLLC-Enabled Grant-Free NOMA Systems by Duc-Dung Tran, Shree Krishna Sharma, Vu Nguyen Ha, Symeon Chatzinotas, Isaac Woungang

“…In particular, the URLLC-GF-NOMA methods using MA dueling double deep Q network (MA3DQN), MA double deep Q network (MA2DQN), and MA deep Q network (MADQN) techniques are designed to enable users to select the most appropriate sub-channel and transmission power for their communications. …”
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Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning by Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang

“…In addition to the framework, we also propose a new deep-reinforcement-learning-based routing method-double dueling deep Q-learning with prioritized experience replay (PER-DoDDQN). …”
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A Ship Rotation Detection Model in Remote Sensing Images Based on Feature Fusion Pyramid Network and Deep Reinforcement Learning by Kun Fu, Yang Li, Hao Sun, Xue Yang, Guangluan Xu, Yuting Li, Xian Sun

“…In addition, we put forward prior policy guidance and a long-term training method to train an angle prediction agent constructed through a dueling structure Q network, which is able to iteratively and accurately obtain the ship angle. …”
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Which channel to ask my question? : personalized customer service request stream routing using deep reinforcement learning by Liu, Zining, Long, Chong, Lu, Xiaolu, Hu, Zehong, Zhang, Jie, Wang, Yafang

“…In addition to the framework, we also propose a new deep-reinforcement-learning-based routing method-double dueling deep Q-learning with prioritized experience replay (PER-DoDDQN). …”
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Learn to steer through deep reinforcement learning by Wu, Keyu, Esfahani, Mahdi Abolfazli, Yuan, Shenghai, Wang, Han

“…By embedding a branching noisy dueling architecture, the proposed model is capable of deriving steering commands directly from raw depth images with high efficiency. …”
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CrossFit Training Impact on the Level of Special Physical Fitness of Young Athletes Practicing Judo by Aleksander Yurevich Osipov, Roman Sergeevich Nagovitsyn, Fanavi Haybrahmanovich Zekrin, Fendel’ Tatyana Vladimirovna, Dmitry Alexandrovich Zubkov, Tatyana Vladimirovna Zhavner

“…Moreover, among the athletes who used CrossFit training, blood lactate level data were significantly (p<0.05) higher, averaging 14.54±0.51 mmol/l. The duels percentage won by athletes who used CrossFit training was considerably higher than those athletes who did not use CrossFit training (59% vs 54%).…”
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An Integrated Lateral and Longitudinal Decision-Making Model for Autonomous Driving Based on Deep Reinforcement Learning by Jianxun Cui, Boyuan Zhao, Mingcheng Qu

“…In addition, through a large number of hyper-parameter tuning experiments, the performance of DQN, DDQN, and dueling DQN models, which are also deep reinforcement learning-based decision-making models, under different hyper-parametric configurations is compared and analyzed, which can provide a valuable reference for the specific scenario application of these models.…”
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Research on time series prediction of multi-process based on deep learning by Huali Zheng, Yu Cao, Dong Sun, Mingjun Wang, Binglong Yan, Chunming Ye

“…Abstract Aiming at the problem of data fluctuation in multi-process production, a Soft Update Dueling Double Deep Q-learning (SU-D3QN) network combined with soft update strategy is proposed. …”
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Head impact events in youth football in India and Australia, compared to FIFA Men's World Cup matchesPractical Implications: by Isaac Roman, Marnee McKay, Kerry Peek

“…Most headers were completed during free play, via contact with the players forehead. Heading duels were more common in FWC matches (32%), than those in Australia (23%) or India (19%) (p ​< ​0.001). …”
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Joint Optimization of Data Offloading and Resource Allocation With Renewable Energy Aware for IoT Devices: A Deep Reinforcement Learning Approach by Hongchang Ke, Jian Wang, Hui Wang, Yuming Ge

“…The numerical results demonstrate that JODRBRL can effectively learn the optimal policy, which outperforms Dueling DQN, Double DQN (DDQN), and greedy policy in stochastic environments.…”
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As relações jocosas futebolísticas: futebol, sociabilidade e conflito no Brasil Football joking relations: football, sociability and conflict in Brazil by Édison Gastaldo

“…Voluntary support for a favourite club enables the fan to take part in a series of 'games' associated with football, but parallel to it, such as betting, verbal duels and challenges, which involve the symbolic logics of honour, gender and power endemic to Brazilian society.…”
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Social Media: A notable cause of child burns by Sabriye Dayı, Selma Beyeç, Beyza Dede, Selenay İşçimen, Meryem Anayurt, Serpil Sancar

“…When the story of some children who applied for burns was questioned recently, it was observed that the children were affected by various images, videos, and duels on social media. They wanted to try what they saw with a sense of curiosity. …”
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An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning by Jinqiang Li, Miao Ye, Linqiang Huang, Xiaofang Deng, Hongbing Qiu, Yong Wang, Qiuxiang Jiang

“…Compared to value-function-based Dueling Deep Q-Network (DQN) routing, the convergence of the proposed method is significantly faster and more stable. …”
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Secure Trust-Based Delegated Consensus for Blockchain Frameworks Using Deep Reinforcement Learning by Yunyeong Goh, Jusik Yun, Dongjun Jung, Jong-Moon Chung

“…In order to solve the scalability and security problems simultaneously, this paper proposes a Dueling Double Deep-Q-network with Prioritized experience replay (D3P) based secure trust-based delegated consensus blockchain (TDCB-D3P) scheme that optimizes the blockchain performance by applying deep reinforcement learning (DRL) technology. …”
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Comparative analysis of the competitive activity of the strongest and ukrainian forces greco-roman style. by Ю. А. Радченко, Г. В. Коробейников, Л. Г. Коробейникова, В. В. Шацьких, А.В. Воронцов

“…<em>Material<span style="text-decoration: underline;">:</span></em> The analysis of 102 competitive duels, the World Championship in 2017, studied the specifics of the application of technical and tactical actions performed by athletes. …”
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Modular molecular weaponry plays a key role in competition within an environmental Vibrio cholerae population by Hussain, Nora A. S., Kirchberger, Paul C., Case, Rebecca J., Boucher, Yann F.

“…Using pairwise competition assays, we demonstrate that the vast majority of T6SS-mediated duels end in stalemates between strains with different T6SS repertoires. …”
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Military sporting events in the Balkans by Todorov Dragan, Gostović Dragan

“…In the Middle Ages, military sporting events were knight tournaments and duels. Across Europe, including the Balkans, there were various organizations of knights, which represented specific forms of professional army. …”
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Deep reinforcement learning‐based joint optimization of computation offloading and resource allocation in F‐RAN by Sonnam Jo, Ung Kim, Jaehyon Kim, Chol Jong, Changsop Pak

“…Specifically, each local F‐AP agent consists of dueling deep Q‐network (DDQN) and deep deterministic policy gradient (DDPG) networks to appropriately deal with discrete and continuous valuable action spaces, respectively. …”
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Video analysis of 100 matches in male semi-professional football reveals a heading rate of 5.7 headings per field player and match by Johannes Weber, Andreas Ernstberger, Claus Reinsberger, Daniel Popp, Michael Nerlich, Volker Alt, Werner Krutsch

“…Video analysis yielded 31 CI on the head due to heading (incidence: 1.02 per 1000 h match exposure and player). 29 CI occurred during heading duels (odds ratio: 5.91), 30 CI with body contact (odds ratio: 28.8) and 6 CI with elbow contact (odds ratio: 6.13). …”
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Sports Teaching, Traditional Games, and Understanding in Physical Education: A Tale of Two Stories by Raúl Martínez-Santos, María Pilar Founaud, Astrid Aracama, Asier Oiarbide

“…In the early 1980s, from the English side of La Manche, Almond, Thorpe, and Bunker made a plea for a shift in the way to teach games (sporting collective duels mostly), deeply concerned by the negative impact of the traditional technics-centred approach on motivation, competence and attained level of the least able in school situations. …”
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