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Learn to Earn: Enabling Coordination within a Ride Hailing Fleet
v1v2 (latest)

Learn to Earn: Enabling Coordination within a Ride Hailing Fleet

19 June 2020
Harshal A. Chaudhari
J. Byers
Evimaria Terzi
ArXiv (abs)PDFHTML

Papers citing "Learn to Earn: Enabling Coordination within a Ride Hailing Fleet"

6 / 6 papers shown
Title
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Xiaocheng Tang
Zhiwei Qin
Fan Zhang
Zhaodong Wang
Zhe Xu
Yintai Ma
Hongtu Zhu
Jieping Ye
OffRL
60
182
0
08 Jun 2021
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent
  Reinforcement Learning
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
Minne Li
Zhiwei Qin
Qin
Yan Jiao
Yaodong Yang
Zhichen Gong
Jun Wang
Chenxi Wang
Guobin Wu
Jieping Ye
67
199
0
31 Jan 2019
Spatio-Temporal Pricing for Ridesharing Platforms
Spatio-Temporal Pricing for Ridesharing Platforms
Hongyao Ma
Fei Fang
David C. Parkes
71
129
0
11 Jan 2018
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
225
5,087
0
05 Jun 2016
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical
  Perspective
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective
Rick Zhang
Marco Pavone
90
386
0
16 Apr 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
132
12,272
0
19 Dec 2013
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