… In this study two sixth-grade Chinese dual language … In this literature review we will first
focus specifically on game … online and offline eTower-based teaching activities, learning tasks, …

… reviews the recent research on offline reinforcement learning … Firstly, the problem setup of
offline reinforcement learning is … Moreover, the study trends of offline reinforcement learning in …

… reinforcement learning (SRL) algorithms that satisfy safety constraints while ensuring system
performance. This paper presents a comprehensive survey … offline reinforcement learning. …

… in online markets compared to offline markets. The lack of … based on the pre-defined
categorization of platforms. We also … the challenges that accompany questionnaire and survey …

… 了解决科学难题的新途径,而且也已融入日常生活的各个方面,例如线上到线下(online-to-offline …
We summarize three core research problems and the state-of-the-art techniques of crowd …

… In a concerted effort to surmount these formidable challenges and propel the evolution of …
the symbiotic integration of learning mechanisms and reinforcement learning. At the inception …

… proposes a new paradigm of machine learning meth⁃ od in … offline training, online execution,
online feedback and offline … machine learning: State of the art, taxonomy, challenges, and …

… situated learning literature streams, the object of this study is … through a questionnaire survey
in this study reveals that, (1) … , our research finding reinforce that OSS ideology is a critical …

… computing technologies, such as machine learning, data mining, … analysis pipelines, realtime
and offline, are built up to serve … Categorization not only provides a basis for reporting and …