Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace

10 February 2022

Papers citing "Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace"

8 / 8 papers shown

Title
Vague Preference Policy Learning for Conversational Recommendation Gangyi Zhang Chongming Gao Wenqiang Lei Xiaojie Guo Shijun Li Hongshen Chen Zhuozhi Ding Sulong Xu Lingfei Wu 68 1 0 24 Feb 2025
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework Yulong Hu Tingting Dong Sen Li OffRL OnRL 59 0 0 24 Jan 2025
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Heiko Hoppe Tobias Enders Quentin Cappart Maximilian Schiffer 34 2 0 14 Dec 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning Carolin Schmidt Daniele Gammelli Francisco Câmara Pereira Filipe Rodrigues OffRL 14 4 0 28 Feb 2023
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency Alex J. Chin Zhiwei Qin 13 2 0 28 Feb 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control Kai Jungel Axel Parmentier Maximilian Schiffer Thibaut Vidal 18 11 0 08 Feb 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders James Harrison Marco Pavone Maximilian Schiffer 28 23 0 14 Dec 2022
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021