Results 1 to 10 of about 292,978 (263)
An Overview of Cooperative Multi-Agent Deep Reinforcement Learning [PDF]
Hangkong bingqi, 2022 Multi-agent system is a distributed decision-making system composed of multi-agents interacting with environment, which is an important research direction of distributed artificial intelligence.
Zou Qijie, Jiang Yajun, Gao Bing, Li Wenxue, Zhang Rubo
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How does platform's fintech level affect its word of mouth from the perspective of user psychology?
Frontiers in Psychology, 2023 IntroductionThe rapid development of fintech has brought opportunities for business operations and economic development. Currently, few researches have focused on how fintech level affects word-of-mouth (WOM) from the perspective of user psychology ...
Yongli Li +4 more
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Behavioral Activation Therapy on Reward Seeking Behaviors in Depressed People: An Experimental study [PDF]
Journal of Caring Sciences, 2020 Introduction: Behavioral activation therapy (BAT) is designed to help individuals’ approach and access sources of positive reinforcement in their life, which can serve a natural antidepressant function and efforts to help depressed people reengage in ...
Alireza Karimpour-Vazifehkhorani +4 more
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Lughawiyyat, 2021 This study aims to reveal Habib Hasan Baharun's experiments in developing speaking skills from the perspective of linguistic theory and educational psychology. This study uses qualitative approach with historical methods.
Masnun - Masnun
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Systems, 2023 To more effectively solve the complex optimization problems that exist in nonlinear, high-dimensional, large-sample and complex systems, many intelligent optimization methods have been proposed.
Wenya Huang, Youjin Liu, Xizheng Zhang
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Urwatul Wutsqo, 2023 Psychology and Islamic education play a role in the world of education, both in learning and in teaching. In everyday life, we find that children's religious behavior is essentially obtained by imitating. The purpose of this study was to analyze the role
Wahyu Anis Amanullah Amanullah +2 more
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Health Research Policy and Systems, 2017 Background In Burkina Faso, malaria remains the primary cause of healthcare use, morbidity and child mortality. Therefore, efforts are needed to support the knowledge transfer and application of the results of numerous studies to better formulate and ...
Esther Mc Sween-Cadieux +3 more
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The cerebellum: A neural system for the study of reinforcement learning
Frontiers in Behavioral Neuroscience, 2011 In its strictest application, the term reinforcement learning refers to a computational approach to learning in which an agent (often a machine) interacts with a mutable environment to maximize reward through trial and error.
Rodney A. Swain +2 more
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Neural representation of abstract task structure during generalization
eLife, 2021 Cognitive models in psychology and neuroscience widely assume that the human brain maintains an abstract representation of tasks. This assumption is fundamental to theories explaining how we learn quickly, think creatively, and act flexibly.
Avinash R Vaidya +3 more
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Manipulating Memory Associations Changes Decision-making Preferences in a Preconditioning Task [PDF]
, 2019 Memories of past experiences can guide our decisions. Thus, if memories are undermined or distorted, decision making should be affected. Nevertheless, little empirical research has been done to examine the role of memory in reinforcement decision-making .
Howe, M. L. +4 more
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