云南高校图书馆联盟文献共享服务平台- REWARD

REWARD: 作品数：152被引量：176H指数：7; 导出分析报告; 相关领域：医药卫生更多>>; 相关作者：田峻贾绍辉牛玉宏陈艳梅贾积身更多>>; 相关机构：武汉大学中国科学院上海交通大学华中师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划宁波市自然科学基金国家高技术研究发展计划更多>>

Emerging role of microglia in the developing dopaminergic system:Perturbation by early life stress: 《Neural Regeneration Research》2026年第1期126-140,共15页Kaijie She Naijun Yuan Minyi Huang Wenjun Zhu Manshi Tang Qingyu Ma Jiaxu Chen; supported by the National Natural Science Foundation of China,Nos.82304990(to NY),81973748(to JC),82174278(to JC);the National Key R&D Program of China,No.2023YFE0209500(to JC);China Postdoctoral Science Foundation,No.2023M732380(to NY);Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine,No.202102010014(to JC);Huang Zhendong Research Fund for Traditional Chinese Medicine of Jinan University,No.201911(to JC);National Innovation and Entrepreneurship Training Program for Undergraduates in China,No.202310559128(to NY and QM);Innovation and Entrepreneurship Training Program for Undergraduates at Jinan University,Nos.CX24380,CX24381(both to NY and QM)。; Early life stress correlates with a higher prevalence of neurological disorders,including autism,attention-deficit/hyperactivity disorder,schizophrenia,depression,and Parkinson's disease.These conditions,primarily inv...; 关键词：Chinese herbal drugs dopamine early life stress epigenetics gut-brain axis hypothalamo–pituitary–adrenal axis innate immune memory MICROGLIA neuroinflammation Parkinson disease PHAGOCYTOSIS REWARD

Emerging role of A-kinase anchoring protein 5 signaling in reward circuit function: 《Neural Regeneration Research》2025年第10期2913-2914,共2页William J.Flerlage Mark L.Dell’Acqua Brian M.Cox Fereshteh S.Nugent; supported by the National Institute of Mental Health (NIH/NIMH);the National Institute of Neurological Disorders and Stroke(NIH/NINDS):Grants#R21 MH132136 to FSN and R01 MH123700 and R01 NS040701 to MLD; There is a strong evidence supporting the hypothesis of synaptic dysfunction as a major contributor to neural circuit and network disruption underlying emotional and mood dysregulation in psychiatric disorders(Simmons...; 关键词：FUNCTION SUPPORTING

Prioritization Hindsight Experience Based on Spatial Position Attention for Robots: 《Machine Intelligence Research》2025年第1期160-175,共16页Ye Yuan Yu Sha Feixiang Sun Haofan Lu Shuiping Gou Jie Luo; supported by the Natural Science Foundation of Shaanxi Province,China(No.2022JQ-661);the Project of Science and Technology Development Plan in Hangzhou,China(No.202202B38);the Xidian-FIAS International Joint Research Center,China.; Sparse rewards pose significant challenges in deep reinforcement learning as agents struggle to learn from experiences with limited reward signals.Hindsight experience replay(HER)addresses this problem by creating“sm...; 关键词：Hindsight experience replay spatial position attention sparse reward deep reinforcement learning prioritization hindsight experience

Short video preloading via domain knowledge assisted deep reinforcement learning: 《Digital Communications and Networks》2024年第6期1826-1836,共11页Yuhong Xie Yuan Zhang Tao Lin Zipeng Pan Si-Ze Qian Bo Jiang Jinyao Yan; supported by the National Key Research and Development Program of China(No.2021YFF0900503);partly by the National Natural Science Foundation of China(No.62262018,61971382)。; Short video applications like Tik Tok have seen significant growth in recent years.One common behavior of users on these platforms is watching and swiping through videos,which can lead to a significant waste of bandwi...; 关键词：Short video preloading Deep reinforcement learning Reward shaping Action masking Domain knowledge

SPaRM: an efficient exploration and planning framework for sparse reward reinforcement learning: 《High Technology Letters》2024年第4期344-355,共12页BAN Jian LI Gongyan XU Shaoyun; Supported by the International Partnership Program of Chinese Academy of Sciences(No.184131KYSB20200033).; Due to the issue of long-horizon,a substantial number of visits to the state space is required during the exploration phase of reinforcement learning(RL)to gather valuable information.Addi-tionally,due to the challeng...; 关键词：reinforcement learning(RL) sparse reward reward-free exploration(RFE) space partitioning(SP) reverse merging(RM)

Tactical reward shaping for large-scale combat by multi-agent reinforcement learning: 《Journal of Systems Engineering and Electronics》2024年第6期1516-1529,共14页DUO Nanxun WANG Qinzhao LYU Qiang WANG Wei; Future unmanned battles desperately require intelli-gent combat policies,and multi-agent reinforcement learning offers a promising solution.However,due to the complexity of combat operations and large size of the comb...; 关键词：deep reinforcement learning multi-agent reinforce-ment learning multi-agent combat unmanned battle reward shaping

The Insular Cortex:An Interface Between Sensation,Emotion and Cognition被引量：2: 《Neuroscience Bulletin》2024年第11期1763-1773,共11页Ruohan Zhang Hanfei Deng Xiong Xiao; supported by grants from the National Natural Science Foundation of China(32371060 and 32271065);the Lingang Laboratory(LG-QS-202203-06 and LG-QS-202203-02);the Chinese Academy of Sciences,and Benyuan Charity Foundation.; The insula is a complex brain region central to the orchestration of taste perception,interoception,emotion,and decision-making.Recent research has shed light on the intricate connections between the insula and other ...; 关键词：Insular cortex INTEROCEPTION EMOTION Reward-Timing Decision making

Improved Double Deep Q Network Algorithm Based on Average Q-Value Estimation and Reward Redistribution for Robot Path Planning: 《Computers, Materials & Continua》2024年第11期2769-2790,共22页Yameng Yin Lieping Zhang Xiaoxu Shi Yilin Wang Jiansheng Peng Jianchu Zou; funded by National Natural Science Foundation of China(No.62063006);Guangxi Science and Technology Major Program(No.2022AA05002);Key Laboratory of AI and Information Processing(Hechi University),Education Department of Guangxi Zhuang Autonomous Region(No.2022GXZDSY003);Central Leading Local Science and Technology Development Fund Project of Wuzhou(No.202201001).; By integrating deep neural networks with reinforcement learning,the Double Deep Q Network(DDQN)algorithm overcomes the limitations of Q-learning in handling continuous spaces and is widely applied in the path planning...; 关键词：Double Deep Q Network path planning average Q-value estimation reward redistribution mechanism reward-prioritized experience selection method

Learning the continuous-time optimal decision law from discrete-time rewards: 《National Science Open》2024年第5期130-147,共18页Ci Chen Lihua Xie Kan Xie Frank Leroy Lewis Yilu Liu Shengli Xie; supported by the Guangdong Basic and Applied Basic Research Foundation(2024A1515011936);the National Natural Science Foundation of China(62320106008); The concept of reward is fundamental in reinforcement learning with a wide range of applications in natural and social sciences.Seeking an interpretable reward for decision-making that largely shapes the system's beha...; 关键词：continuous-time state and action decision law learning discrete-time reward dynamical systems reinforcement learning

Evolutionary dynamics of tax-based strong altruistic reward andpunishment in a public goods game: 《Chinese Physics B》2024年第9期247-257,共11页Zhi-Hao Yang Yan-Long Yang; the National Natural Science Foun-dation of China(Grant No.71961003).; In public goods games, punishments and rewards have been shown to be effective mechanisms for maintaining individualcooperation. However, punishments and rewards are costly to incentivize cooperation. Therefore, the g...; 关键词：evolutionary game theory strong altruism PUNISHMENT REWARD

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