Simulation-based Reinforcement Learning Approach towards Construction Machine Automation

Author(s):  
Keita Matsumoto ◽  
Atsushi Yamaguchi ◽  
Takahiro Oka ◽  
Masahiro Yasumoto ◽  
Satoru Hara ◽  
...  
Autoreg 2019 ◽  
2019 ◽  
pp. 47-60
Author(s):  
D. Augustin ◽  
J. Schucker ◽  
J. Tschirner ◽  
M. Hofmann ◽  
U. Konigorski

2019 ◽  
Vol 139 (4) ◽  
pp. 401-408
Author(s):  
Shunya Tanabe ◽  
Zeyuan Sun ◽  
Masayuki Nakatani ◽  
Yutaka Uchimura

2020 ◽  
Vol 17 (10) ◽  
pp. 129-141
Author(s):  
Yiwen Nie ◽  
Junhui Zhao ◽  
Jun Liu ◽  
Jing Jiang ◽  
Ruijin Ding

Author(s):  
Zhiwei (Tony) Qin ◽  
Xiaocheng Tang ◽  
Yan Jiao ◽  
Fan Zhang ◽  
Chenxi Wang ◽  
...  

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. 


2016 ◽  
Author(s):  
Dario di Nocera ◽  
Alberto Finzi ◽  
Silvia Rossi ◽  
Mariacarla Staffa

Author(s):  
Panagiotis Radoglou-Grammatikis ◽  
Konstantinos Robolos ◽  
Panagiotis Sarigiannidis ◽  
Vasileios Argyriou ◽  
Thomas Lagkas ◽  
...  

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