Dynamic Topology Design of NFV-enabled Services using Deep Reinforcement Learning

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2021.3139632 ◽

2021 ◽

pp. 1-1

Author(s):

Omar Alhussein ◽

Weihua Zhuang

Keyword(s):

Reinforcement Learning ◽

Topology Design ◽

Dynamic Topology

Download Full-text

Two-Dimensional Truss Topology Design by Reinforcement Learning

Lecture Notes in Civil Engineering - ICSCEA 2019 ◽

10.1007/978-981-15-5144-4_122 ◽

2020 ◽

pp. 1237-1245

Author(s):

S. Sahachaisaree ◽

P. Sae-ma ◽

P. Nanakorn

Keyword(s):

Reinforcement Learning ◽

Topology Design ◽

Two Dimensional ◽

Truss Topology ◽

Truss Topology Design

Download Full-text

IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach

IEEE Communications Letters ◽

10.1109/lcomm.2020.3029513 ◽

2020 ◽

pp. 1-1

Author(s):

Meryem Simsek ◽

Oner Orhan ◽

Marcel Nassar ◽

Oguz Elibol ◽

Hosein Nikopour

Keyword(s):

Reinforcement Learning ◽

Graph Embedding ◽

Topology Design ◽

Learning Approach

Download Full-text

Optimal Dynamic Topology Design of Continuum Structures with Random Parameters

Multidiscipline Modeling in Materials and Structures ◽

10.1163/157361105774501638 ◽

2005 ◽

Vol 1 (4) ◽

pp. 329-340

Author(s):

M T Cui ◽

J J Chen ◽

P G Jiang

Keyword(s):

Topology Design ◽

Random Parameters ◽

Continuum Structures ◽

Dynamic Topology ◽

Optimal Dynamic

Download Full-text

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 ◽

Keyword(s):

Reinforcement Learning ◽

Problem Gambling ◽

Learning Models ◽

Behavioral Extinction ◽

Reinforcement Learning Models

Download Full-text

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

Decision ◽

10.1037/dec0000040 ◽

2016 ◽

Vol 3 (2) ◽

pp. 115-131 ◽

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

Download Full-text

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 ◽

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

10.1061/9780784483053.178 ◽

2020 ◽

Author(s):

Zheyu Cui ◽

Jianming Hu

Keyword(s):

Reinforcement Learning ◽

Connected Vehicles ◽

Lane Changing ◽

Collaborative Scheduling

Download Full-text