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2310.13810
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A Better Match for Drivers and Riders: Reinforcement Learning at Lyft
20 October 2023
Xabi Azagirre
Akshay Balwally
Guillaume Candeli
Nicholas Chamandy
Benjamin Han
Alona King
Hyungjun Lee
Martin Loncaric
Sébastien Martin
Vijay Narasiman
Zhiwei Qin
Qin
Baptiste Richard
Sara Smoot
Sean Taylor
G. V. Ryzin
Di Wu
Fei Yu
Alex Zamoshchin
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Papers citing
"A Better Match for Drivers and Riders: Reinforcement Learning at Lyft"
4 / 4 papers shown
Title
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
Huiling Meng
Ningyuan Chen
Xuefeng Gao
55
1
0
08 Jun 2024
The New Era of Dynamic Pricing: Synergizing Supervised Learning and Quadratic Programming
Gustavo Bramao
Ilia Tarygin
31
0
0
19 Feb 2024
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
Aleksandar Krnjaic
Raul D. Steleac
Jonathan D. Thomas
Georgios Papoudakis
Lukas Schafer
...
Kuan-Ho Lao
Murat Cubuktepe
Matthew Haley
Peter Borsting
Stefano V. Albrecht
OffRL
12
17
0
22 Dec 2022
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
37
83
0
03 May 2021
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