scholarly journals Simulating Attention Disorder in Autistic Patients based on a Computational Model with Neural Networks Reinforcement Learning Approach

2021 ◽  
Vol 11 (6) ◽  
pp. 1-17
Author(s):  
Seyedeh Samaneh Seyedi ◽  
Abolfazl Darroudi
Keyword(s):  
Neural Networks ◽  
Reinforcement Learning ◽  
Computational Model ◽  
Learning Approach ◽  
Attention Disorder

scholarly journals ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks

IEEE Micro ◽  
2020 ◽  
Vol 40 (5) ◽  
pp. 37-45 ◽  
Author(s):  
Ahmed T. Elthakeb ◽  
Prannoy Pilligundla ◽  
Fatemehsadat Mireshghallah ◽  
Amir Yazdanbakhsh ◽  
Hadi Esmaeilzadeh
Keyword(s):  
Neural Networks ◽  
Reinforcement Learning ◽  
Learning Approach

scholarly journals On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 179678-179691
Author(s):  
Heasung Kim ◽  
Jungtai Kim ◽  
Wonjae Shin ◽  
Heecheol Yang ◽  
Nayoung Lee ◽  
...  
Keyword(s):  
Neural Networks ◽  
Reinforcement Learning ◽  
Energy Harvesting ◽  
Broadcast Channels ◽  
Learning Approach

scholarly journals Creation and implementation of a set of game strategies based on training neural networks with reinforcement learning

2021 ◽  
Vol 2134 (1) ◽  
pp. 012005
Author(s):  
D S Kozlov ◽  
O N Polovikova
Keyword(s):  
Neural Networks ◽  
Reinforcement Learning ◽  
The Self ◽  
Learning Approach ◽  
Self Learning

Abstract The study explores the problems of reinforcement learning and finding non-obvious play strategies using reinforcement learning. Two approaches to agent training (blind and pattern-based) are considered and implemented. The advantage of the self-learning approach with reinforcement using patterns as applied to a specific game (tic-tac-toe five in a row) is shown. Recorded and analyzed the use of unusual strategies by an agent using a pattern-based approach.

Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach

2020 ◽  
Author(s):  
Florian Maurer ◽  
Bryan Donyanavard ◽  
Amir M. Rahmani ◽  
Nikil Dutt ◽  
Andreas Herkersdorf
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach

Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach

2020 ◽  
Vol 17 (10) ◽  
pp. 129-141
Author(s):  
Yiwen Nie ◽  
Junhui Zhao ◽  
Jun Liu ◽  
Jing Jiang ◽  
Ruijin Ding
Keyword(s):  
Reinforcement Learning ◽  
Energy Efficient ◽  
Learning Approach ◽  
Trajectory Design ◽  
Backscatter Communication

Author response for "Deep learning and reinforcement learning approach on microgrid"

2020 ◽  
Author(s):  
Kumar Chandrasekaran ◽  
Prabaakaran Kandasamy ◽  
Srividhya Ramanathan
Keyword(s):  
Deep Learning ◽  
Reinforcement Learning ◽  
Author Response ◽  
Learning Approach

Attentional Shifting and Curiosity: a Reinforcement Learning Approach

2016 ◽  
Author(s):  
Dario di Nocera ◽  
Alberto Finzi ◽  
Silvia Rossi ◽  
Mariacarla Staffa
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Attentional Shifting
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