… Few empirical studies have investigated the relationship between job characteristics and
employees’ participation in development activities. Kohn and Schooler (1978) reported that job …

… [Objective] This paper proposes an interpretable reinforcement learning method for job … with
the knowledge graph and the theory of reinforcement learning. This algorithm, which divided …

… This section provides a theoretical background on reinforcement learning with a focus on
deep Q-networks and their extensions. The proposed solution to our problem will be presented …

… It has been revealed that reward shaping, which provides simpler and easier reward …
reward, is an effective way to guide and accelerate reinforcement learning. However, building a …

… Theoretical findings Our findings make empirical and theoretical contributions to the …
Drawing upon social exchange theory, the findings suggest that although both IB and BOL …

… This study also emphasizes the importance of using empirical research to address China’s
detection, mitigation, and prevention of this type of scam. Finally, authorities and citizens …

… compass for navigating the uncharted waters of future research endeavors and the judicious
deployment of multiagent reinforcement learning algorithms in pragmatic scenarios. KEY …

… , and meta-game theory are introduced; opponent modeling methods that concludes the
frontier theory of opponent modeling are summarized, and the applications and challenges …

[目的] 将实体与关系融合, 通过加权图卷积神经网络和关系归纳机制, 聚合知识图谱的全局信息,
增强知识图谱表示质量, 提升其在知识图谱补全任务的效果.[方法] 提出一种新的用于知识图谱补…

… empirical studies can be carried out to achieve a comprehensive understanding of the
mechanism of tourism policy making, particularly in the contemporary Chinese context, taking …