44 results on '"Zhiwei (Tony) Qin"'
Search Results
2. A Better Match for Drivers and Riders: Reinforcement Learning at Lyft.
3. Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
4. A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency.
5. KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.
6. A Better Match for Drivers and Riders: Reinforcement Learning at Lyft.
7. Offline Model-based Adaptable Policy Learning.
8. Reinforcement Learning for Ridesharing: A Survey.
9. Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
10. Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling.
11. Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
12. KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
13. Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
14. Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
15. Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
16. Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning.
17. Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
18. A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
19. Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
20. Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
21. Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
22. InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
23. CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
24. Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
25. Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning.
26. Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
27. Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
28. Large-Scale Targeted Marketing by Supervised PageRank with Seeds.
29. Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning.
30. A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
31. Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning.
32. A Bayesian framework for large-scale geo-demand estimation in on-line retailing.
33. Low-Rank Tensor Recovery for Geo-Demand Estimation in Online Retailing.
34. Deep Reinforcement Learning with Applications in Transportation.
35. A Better Match for Drivers and Riders: Reinforcement Learning at Lyft.
36. HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection.
37. An alternating direction method for total variation denoising.
38. Robust Low-Rank Tensor Recovery: Models and Algorithms.
39. A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
40. Efficient block-coordinate descent algorithms for the Group Lasso.
41. Structured Sparsity via Alternating Direction Methods.
42. Reinforcement Learning in the Ridesharing Marketplace
43. Structured Sparsity via Alternating Directions Methods
44. Reinforcement Learning for Ridesharing: An Extended Survey
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.