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Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning
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Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning

Kezhou Ren
Meihan Jin
Huiming Liu
Yongxi Gong
Yu Liu
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Papers citing "Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning"

6 / 6 papers shown
Title
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Man Luo
Bowen Du
Wenzhe Zhang
Tianyou Song
Kun Li
Hongming Zhu
M. Birkin
Hongkai Wen
51
24
0
11 Nov 2022
Assessing bikeability with street view imagery and computer vision
Assessing bikeability with street view imagery and computer vision
Koichi Ito
Filip Biljecki
36
126
0
13 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
89
85
0
03 May 2021
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
F. Simini
Gianni Barlacchi
Massimilano Luca
Luca Pappalardo
HAI
64
189
0
01 Dec 2020
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
Jinmeng Rao
Song Gao
Yuhao Kang
Qunying Huang
111
108
0
14 Jun 2020
Maximum Entropy Deep Inverse Reinforcement Learning
Maximum Entropy Deep Inverse Reinforcement Learning
Markus Wulfmeier
Peter Ondruska
Ingmar Posner
OOD
80
406
0
17 Jul 2015

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