A general convergence method for Reinforcement Learning in the continuous case

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026710 ◽

1998 ◽

pp. 394-405 ◽

Cited By ~ 2

Author(s):

Rémi Munos

Keyword(s):

Reinforcement Learning ◽

Continuous Case ◽

Convergence Method ◽

General Convergence

494 Comparison of vena contracta width and proximal convergence method in quantification of mitral paraprosthetic regurgitation using multiplane transoesophageal echocardiography

European Journal of Echocardiography ◽

10.1016/s1525-2167(99)80297-2 ◽

1999 ◽

Vol 1 ◽

pp. S85-S85

Author(s):

B YAYMACI ◽

B SAY ◽

Y BASARAN ◽

M ERMEYDAN ◽

S KALACA ◽

...

Keyword(s):

Transoesophageal Echocardiography ◽

Vena Contracta ◽

Convergence Method

Supplemental Material for Reconciling Reinforcement Learning Models With Behavioral Extinction and Renewal: Implications for Addiction, Relapse, and Problem Gambling

Psychological Review ◽

10.1037/0033-295x.114.3.784.supp ◽

2007 ◽

Cited By ~ 1

Keyword(s):

Reinforcement Learning ◽

Problem Gambling ◽

Learning Models ◽

Behavioral Extinction ◽

Reinforcement Learning Models

Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽

10.1037/dec0000040 ◽

2016 ◽

Vol 3 (2) ◽

pp. 115-131 ◽

Cited By ~ 14

Author(s):

Helen Steingroever ◽

Ruud Wetzels ◽

Eric-Jan Wagenmakers

Keyword(s):

Reinforcement Learning ◽

Iowa Gambling Task ◽

Bayes Factors ◽

Gambling Task ◽

Learning Models ◽

Reinforcement Learning Models

Analogical Reinforcement Learning With Two-Stage Memory Retrieval

PsycEXTRA Dataset ◽

10.1037/e528942014-705 ◽

2014 ◽

Author(s):

James Foster ◽

Matt Jones

Keyword(s):

Reinforcement Learning ◽

Memory Retrieval ◽

Two Stage

Effects of Working Memory Capacity on the Speed and Accuracy of Learning in Reinforcement Learning Models

PsycEXTRA Dataset ◽

10.1037/e528942014-552 ◽

2014 ◽

Author(s):

Adnane Ez-Zizi ◽

Simon Farrell ◽

David Leslie

Keyword(s):

Working Memory ◽

Reinforcement Learning ◽

Working Memory Capacity ◽

Memory Capacity ◽

Learning Models ◽

Reinforcement Learning Models ◽

Speed And Accuracy

Supplemental Material for Reinforcement Learning Models of Risky Choice and the Promotion of Risk-Taking by Losses Disguised as Wins in Rats

Journal of Experimental Psychology Animal Learning and Cognition ◽

10.1037/xan0000141.supp ◽

2017 ◽

Keyword(s):

Reinforcement Learning ◽

Risk Taking ◽

Risky Choice ◽

Learning Models ◽

Losses Disguised As Wins ◽

Reinforcement Learning Models

Reinforcement learning of irrelevant stimulus-response associations modulates cognitive control.

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/xlm0000850 ◽

2020 ◽

Author(s):

Jinglu Chen ◽

Ling Tan ◽

Lu Liu ◽

Ling Wang

Keyword(s):

Reinforcement Learning ◽

Cognitive Control ◽

Irrelevant Stimulus ◽

Stimulus Response

A Collaborative Scheduling Lane Changing Model for Intelligent Connected Vehicles Based on Deep Reinforcement Learning

CICTP 2020 ◽

10.1061/9780784483053.178 ◽

2020 ◽

Author(s):

Zheyu Cui ◽

Jianming Hu

Keyword(s):

Reinforcement Learning ◽

Connected Vehicles ◽

Lane Changing ◽

Collaborative Scheduling

Multi-Agent Deep Reinforcement Learning for Decentralized Cooperative Traffic Signal Control

CICTP 2020 ◽

10.1061/9780784483053.039 ◽

2020 ◽

Author(s):

Yang Zhao ◽

Jian-Ming Hu ◽

Ming-Yang Gao ◽

Zuo Zhang

Keyword(s):

Reinforcement Learning ◽

Traffic Signal ◽

Signal Control ◽

Traffic Signal Control ◽

Multi Agent

Research on Signal Control Method of Single Intersection Based on Reinforcement Learning

CICTP 2020 ◽

10.1061/9780784483053.015 ◽

2020 ◽

Author(s):

Yilong Ren ◽

Le Zhang ◽

Han Jiang ◽

Chengsheng Liu

Keyword(s):

Reinforcement Learning ◽

Control Method ◽

Signal Control