Simulation-based Reinforcement Learning Approach towards Construction Machine Automation

2020 ◽  
Author(s):  
Keita Matsumoto ◽  
Atsushi Yamaguchi ◽  
Takahiro Oka ◽  
Masahiro Yasumoto ◽  
Satoru Hara ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Construction Machine ◽  
Simulation Based

A Simulation-Based Reinforcement Learning Approach for Long-Term Maneuver Planning in Highway Traffic Scenarios

Autoreg 2019 ◽  
2019 ◽  
pp. 47-60
Author(s):  
D. Augustin ◽  
J. Schucker ◽  
J. Tschirner ◽  
M. Hofmann ◽  
U. Konigorski
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Highway Traffic ◽  
Simulation Based

Route Optimization of Construction Machine by Deep Reinforcement Learning

2019 ◽  
Vol 139 (4) ◽  
pp. 401-408
Author(s):  
Shunya Tanabe ◽  
Zeyuan Sun ◽  
Masayuki Nakatani ◽  
Yutaka Uchimura
Keyword(s):  
Reinforcement Learning ◽  
Route Optimization ◽  
Construction Machine

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

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

2019 ◽  
Author(s):  
Zhiwei (Tony) Qin ◽  
Xiaocheng Tang ◽  
Yan Jiao ◽  
Fan Zhang ◽  
Chenxi Wang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Human Computer Interaction ◽  
Ride Sharing ◽  
Simulation Based ◽  
Computer Interaction

In this demo, we will present a simulation-based human-computer interaction of deep reinforcement learning in action on order dispatching and driver repositioning for ride-sharing.  Specifically, we will demonstrate through several specially designed domains how we use deep reinforcement learning to train agents (drivers) to have longer optimization horizon and to cooperate to achieve higher objective values collectively. 

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

scholarly journals Modelling, Detecting and Mitigating Threats against Industrial Healthcare Systems: A combined SDN and Reinforcement Learning Approach

2021 ◽  
pp. 1-1
Author(s):  
Panagiotis Radoglou-Grammatikis ◽  
Konstantinos Robolos ◽  
Panagiotis Sarigiannidis ◽  
Vasileios Argyriou ◽  
Thomas Lagkas ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Healthcare Systems ◽  
Learning Approach
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