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Discovering Cyclists' Visual Preferences Through Shared Bike
  Trajectories and Street View Images Using Inverse Reinforcement Learning
v1v2 (latest)

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

5 September 2024
Kezhou Ren
Meihan Jin
Huiming Liu
Yongxi Gong
Yu Liu
ArXiv (abs)PDFHTML

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
1