中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [3]
心理研究所 [1]
自动化研究所 [1]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2020 [1]
2016 [1]
2004 [1]
2001 [1]
2000 [1]
学科主题
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Neural Dynamic Responses of Monetary and Social Reward Processes in Adolescents
期刊论文
OAI收割
FRONTIERS IN HUMAN NEUROSCIENCE, 2020, 卷号: 14, 页码: 16
作者:
Wang, Di
;
Liu, Tongran
;
Shi, Jiannong
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/06/15
reward processes
neurodevelopment
adolescence
social reward
monetary reward
event-related potential
Online reinforcement learning control by Bayesian inference
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
作者:
Xia, Zhongpu
;
Zhao, Dongbin
;
Dongbin Zhao
  |  
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2016/06/15
Learning Systems
Bayes Methods
Gaussian Processes
Optimal Control
Online Reinforcement Learning Control
Bayesian Inference
Self-learning Control
Probability
Action Value Function
Gaussian Process
Bayesian-state-action-reward-state-action Algorithm
On average reward semi-markov decision processes with a general multichain structure
期刊论文
OAI收割
MATHEMATICS OF OPERATIONS RESEARCH, 2004, 卷号: 29, 期号: 2, 页码: 339-352
作者:
Jianyong, L
;
Xiaobo, Z
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2018/07/30
semi-Markov decision processes
average reward criterion
multichain structure
data-transformation method
optimal policy
Weighted Markov decision processes with perturbation
期刊论文
OAI收割
MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 2001, 卷号: 53, 期号: 3, 页码: 465-480
作者:
Liu, K
;
Filar, JA
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2018/07/30
Markov decision processes
weighted reward
optimal policy
delta-optimal
singular perturbation
general perturbation
Nonhomogeneous Markov decision processes with Borel state space - The average criterion with nonuniformly bounded rewards
期刊论文
OAI收割
MATHEMATICS OF OPERATIONS RESEARCH, 2000, 卷号: 25, 期号: 4, 页码: 667-678
作者:
Guo, XP
;
Liu, JY
;
Liu, K
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/07/30
nonhomogeneous Markov decision processes
average reward criterion
optimality equations
epsilon(>= 0)-optimal policies
rolling horizon algorithm