RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Zhihan, Yuan, Haitao, Chen, Minxiao, Wang, Shangguang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
by: Chen, Minxiao, et al.
Published: (2025)
by: Chen, Minxiao, et al.
Published: (2025)
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
by: Jiang, Wenzhao, et al.
Published: (2026)
by: Jiang, Wenzhao, et al.
Published: (2026)
Towards An Efficient and Effective En Route Travel Time Estimation Framework
by: Shen, Zekai, et al.
Published: (2025)
by: Shen, Zekai, et al.
Published: (2025)
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
by: Zhao, Zhengyang, et al.
Published: (2024)
by: Zhao, Zhengyang, et al.
Published: (2024)
Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data
by: Jiang, Nan, et al.
Published: (2024)
by: Jiang, Nan, et al.
Published: (2024)
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
Link Representation Learning for Probabilistic Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
Multimodal Trajectory Representation Learning for Travel Time Estimation
by: Liu, Zhi, et al.
Published: (2025)
by: Liu, Zhi, et al.
Published: (2025)
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
by: Chen, Minxiao, et al.
Published: (2024)
by: Chen, Minxiao, et al.
Published: (2024)
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems
by: Jali, Neharika, et al.
Published: (2024)
by: Jali, Neharika, et al.
Published: (2024)
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
by: Mao, Xiaowei, et al.
Published: (2024)
by: Mao, Xiaowei, et al.
Published: (2024)
Deep Reinforcement Learning for Traveling Purchaser Problems
by: Yuan, Haofeng, et al.
Published: (2024)
by: Yuan, Haofeng, et al.
Published: (2024)
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
by: Liu, Tong, et al.
Published: (2025)
by: Liu, Tong, et al.
Published: (2025)
SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026)
by: Xu, Zhongling, et al.
Published: (2026)
TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
by: Wang, Yinuo, et al.
Published: (2026)
by: Wang, Yinuo, et al.
Published: (2026)
Generalising Travel Time Prediction To Varying Route Choices In Urban Networks
by: Gorczyca, Łukasz, et al.
Published: (2026)
by: Gorczyca, Łukasz, et al.
Published: (2026)
Deep Reinforcement Learning for Drone Route Optimization in Post-Disaster Road Assessment
by: Gong, Huatian, et al.
Published: (2025)
by: Gong, Huatian, et al.
Published: (2025)
Learning to Search for Vehicle Routing with Multiple Time Windows
by: Xu, Kuan, et al.
Published: (2025)
by: Xu, Kuan, et al.
Published: (2025)
LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
by: Xiong, Lee, et al.
Published: (2026)
by: Xiong, Lee, et al.
Published: (2026)
FwdLLM: Efficient FedLLM using Forward Gradient
by: Xu, Mengwei, et al.
Published: (2023)
by: Xu, Mengwei, et al.
Published: (2023)
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
by: Mei, Hanzi, et al.
Published: (2024)
by: Mei, Hanzi, et al.
Published: (2024)
Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem
by: Huang, Shihong, et al.
Published: (2026)
by: Huang, Shihong, et al.
Published: (2026)
Towards Robust Trajectory Embedding for Similarity Computation: When Triangle Inequality Violations in Distance Metrics Matter
by: Si, Jianing, et al.
Published: (2025)
by: Si, Jianing, et al.
Published: (2025)
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
by: Zhao, Runze, et al.
Published: (2025)
by: Zhao, Runze, et al.
Published: (2025)
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
by: Li, Yikuan, et al.
Published: (2023)
by: Li, Yikuan, et al.
Published: (2023)
Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks
by: Wang, Yuxi, et al.
Published: (2025)
by: Wang, Yuxi, et al.
Published: (2025)
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
by: Wang, Mingzhao, et al.
Published: (2025)
by: Wang, Mingzhao, et al.
Published: (2025)
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem
by: Strauß, Niklas, et al.
Published: (2024)
by: Strauß, Niklas, et al.
Published: (2024)
Preference-Guided Reinforcement Learning for Efficient Exploration
by: Wang, Guojian, et al.
Published: (2024)
by: Wang, Guojian, et al.
Published: (2024)
A Curriculum-Based Deep Reinforcement Learning Framework for the Electric Vehicle Routing Problem
by: Daysalilar, Mertcan, et al.
Published: (2026)
by: Daysalilar, Mertcan, et al.
Published: (2026)
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
by: Chen, Yuanyao, et al.
Published: (2025)
by: Chen, Yuanyao, et al.
Published: (2025)
Efficient Online Reinforcement Learning for Diffusion Policy
by: Ma, Haitong, et al.
Published: (2025)
by: Ma, Haitong, et al.
Published: (2025)
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning
by: Mozhdehi, Arash, et al.
Published: (2025)
by: Mozhdehi, Arash, et al.
Published: (2025)
Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
by: Chen, Zizhe, et al.
Published: (2026)
by: Chen, Zizhe, et al.
Published: (2026)
ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
by: Hou, Hongru, et al.
Published: (2026)
by: Hou, Hongru, et al.
Published: (2026)
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)
by: Liang, Zhiyu, et al.
Published: (2025)
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
by: Li, Qi, et al.
Published: (2025)
by: Li, Qi, et al.
Published: (2025)
Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem
by: Li, Michael, et al.
Published: (2025)
by: Li, Michael, et al.
Published: (2025)
OBLR-PO: A Theoretical Framework for Stable Reinforcement Learning
by: Huang, Zixun, et al.
Published: (2025)
by: Huang, Zixun, et al.
Published: (2025)
Similar Items
-
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
by: Chen, Minxiao, et al.
Published: (2025) -
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
by: Jiang, Wenzhao, et al.
Published: (2026) -
Towards An Efficient and Effective En Route Travel Time Estimation Framework
by: Shen, Zekai, et al.
Published: (2025) -
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
by: Zhao, Zhengyang, et al.
Published: (2024) -
Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data
by: Jiang, Nan, et al.
Published: (2024)