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02/28/2023
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency
Ridesharing platforms are a type of two-sided marketplace where “supply-...
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11/06/2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
A fundamental question in any peer-to-peer ride-sharing system is how to...
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06/08/2021
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Recent works on ride-sharing order dispatching have highlighted the impo...
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05/18/2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens ...
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05/03/2021
Reinforcement Learning for Ridesharing: A Survey
In this paper, we present a comprehensive, in-depth survey of the litera...
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03/08/2021
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning
We present a new practical framework based on deep reinforcement learnin...
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10/01/2020
Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control
Reinforcement learning methods for traffic signal control has gained inc...
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04/02/2020
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation
Contextual multi-armed bandit (MAB) achieves cutting-edge performance on...
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11/25/2019
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
Order dispatching and driver repositioning (also known as fleet manageme...
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10/07/2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Improving the efficiency of dispatching orders to vehicles is a research...
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08/28/2019
Similarity Kernel and Clustering via Random Projection Forests
Similarity plays a fundamental role in many areas, including data mining...
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07/12/2019
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
Reinforcement learning aims at searching the best policy model for decis...
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05/27/2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
How to optimally dispatch orders to vehicles and how to trade off betwee...
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01/02/2019
Cost-sensitive Selection of Variables by Ensemble of Model Sequences
Many applications require the collection of data on different variables ...
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11/11/2018
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
In this paper, we develop a reinforcement learning (RL) based system to ...
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11/16/2014
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection
We consider classification tasks in the regime of scarce labeled trainin...
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11/24/2013
Robust Low-rank Tensor Recovery: Models and Algorithms
Robust tensor recovery plays an instrumental role in robustifying tensor...
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05/04/2011
