Results 11 to 20 of about 1,311,020 (347)
Food reinforcement and obesity. Psychological moderators [PDF]
Appetite, 2012 The relative reinforcing value of food (RRV(food)) provides an index of the motivation to eat. Research has shown that RRV(food) is higher in obese individuals than their non-obese peers, is associated with greater energy intake, predicts weight gain and interacts with impulsivity to predict energy intake.
Leonard H, Epstein +3 more
openaire +2 more sources
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
doaj +1 more source
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments [PDF]
RLJ, 2023 Cognitive science and psychology suggest that object-centric representations of complex scenes are a promising step towards enabling efficient abstract reasoning from low-level perceptual features.
Quentin Delfosse +4 more
semanticscholar +1 more source
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence [PDF]
Neural Networks, 2023 This study probes the vulnerabilities of cooperative multi-agent reinforcement learning (c-MARL) under adversarial attacks, a critical determinant of c-MARL's worst-case performance prior to real-world implementation.
Simin Li +8 more
semanticscholar +1 more source
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective [PDF]
IEEE Transactions on Cognitive and Developmental Systems, 2023 As a popular concept proposed in the field of psychology, affordance has been regarded as one of the important abilities that enable humans to understand and interact with the environment. Briefly, it captures the possibilities and effects of the actions
Xintong Yang, Ze Ji, Jing Wu, Yunyu Lai
semanticscholar +1 more source
Deep multiagent reinforcement learning: challenges and directions [PDF]
Artificial Intelligence Review, 2021 This paper surveys the field of deep multiagent reinforcement learning (RL). The combination of deep neural networks with RL has gained increased traction in recent years and is slowly shifting the focus from single-agent to multiagent environments ...
Annie Wong +3 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source