Results 1 to 10 of about 293,378 (334)

Reinforcement learning and its connections with neuroscience and psychology [PDF]

Neural Networks, 2021
Accepted to Elsevier Neural Networks; 19 pages, 6 figures, 1 ...
Ajay Subramanian, Sharad Chitlangia, Veeky Baths   +2 more
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Hybrid Particle Swarm Optimization Algorithm Based on the Theory of Reinforcement Learning in Psychology [PDF]

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
doaj   +2 more sources

Reinforcement Learning Inspired by Psychology and Neuroscience

Journal of Education, Humanities and Social Sciences, 2023
Decision-making is a crucial intelligence shared by animals and humans and it helps them to act in an intricate environment to seek rewards and avoid punishments. Psychologists first became interested in this ability and studied the conditional behavioral problems associated with it, then these studies have further led to the need for unified ...
Hongkun Wu
openalex   +3 more sources

User regret psychology-driven electric vehicle charging navigation strategy based on deep reinforcement learning and transfer learning

International Journal of Electrical Power & Energy Systems
Current electric vehicle charging navigation (EVCN) models typically treat the problem as a static, one‐shot decision, neglecting the user regret psychology and myriad uncertainties that unfold throughout the charging journey.
Pengwei Zhuang, Changxu Jiang, Hao Xu, Junjie Lin   +3 more
doaj   +3 more sources

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents [PDF]

, 2018
28 pages, 11 ...
Joel Z. Leibo, Cyprien de Masson d’Autume, Daniel Zoran, Amos David, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel E. Acacio, Simon Green, Audrūnas Gruslys, Shane Legg, Demis Hassabis, Matthew Botvinick   +12 more
openalex   +3 more sources

Reinforcement sensitivity theory and clinical psychology

The Japanese journal of psychology, 2023
Yohei Sasaki
openalex   +3 more sources

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
doaj   +1 more source

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, Xiaochen Ma, Yujia Li, Rui Li, Hongyu Liu   +4 more
doaj   +1 more source

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, Abbas Bakhshipour Rudsari, Akram Rezvanizadeh, Leila Kehtary- Harzang, Kamyar Hasanzadeh   +4 more
doaj   +1 more source

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, Henry, Lin, Katelyn A, Carr, Kelly D, Fletcher   +3 more
openaire   +2 more sources