Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
Fuente:
arXiv
Saved in:
| Main Authors: | Min, Donggyu, Choi, Seongjin, Kim, Dong-Kyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probabilistic Traffic Forecasting with Dynamic Regression
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
by: Pignatelli, Eduardo, et al.
Published: (2023)
by: Pignatelli, Eduardo, et al.
Published: (2023)
Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)
by: Cheong, Christopher, et al.
Published: (2025)
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
by: Kosieradzki, Mitch, et al.
Published: (2025)
by: Kosieradzki, Mitch, et al.
Published: (2025)
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
by: Jiang, Sicong, et al.
Published: (2024)
by: Jiang, Sicong, et al.
Published: (2024)
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
by: Choi, Seongjin, et al.
Published: (2022)
by: Choi, Seongjin, et al.
Published: (2022)
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
by: Xiong, Xi, et al.
Published: (2019)
by: Xiong, Xi, et al.
Published: (2019)
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
by: Ramesh, Aditya A., et al.
Published: (2024)
by: Ramesh, Aditya A., et al.
Published: (2024)
Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment
by: Wang, Leizhen, et al.
Published: (2025)
by: Wang, Leizhen, et al.
Published: (2025)
Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025
by: Choi, Seongjin
Published: (2026)
by: Choi, Seongjin
Published: (2026)
Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
by: Gao, Xiancheng, et al.
Published: (2025)
by: Gao, Xiancheng, et al.
Published: (2025)
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
by: Wang, Ziyan, et al.
Published: (2023)
by: Wang, Ziyan, et al.
Published: (2023)
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
by: Qu, Yun, et al.
Published: (2024)
by: Qu, Yun, et al.
Published: (2024)
Robust Reinforcement Learning under Diffusion Models for Data with Jumps
by: Jiang, Chenyang, et al.
Published: (2024)
by: Jiang, Chenyang, et al.
Published: (2024)
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
by: Han, Shuai, et al.
Published: (2025)
by: Han, Shuai, et al.
Published: (2025)
Pinpointing crucial steps: Attribution-based Credit Assignment for Verifiable Reinforcement Learning
by: Yin, Junxi, et al.
Published: (2025)
by: Yin, Junxi, et al.
Published: (2025)
Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2026)
by: Venugopal, Aravind, et al.
Published: (2026)
Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2026)
by: Le, Bang Giang, et al.
Published: (2026)
Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
by: Zhang, Kaiyi, et al.
Published: (2026)
by: Zhang, Kaiyi, et al.
Published: (2026)
Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction
by: Cho, Jungwoo, et al.
Published: (2025)
by: Cho, Jungwoo, et al.
Published: (2025)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
by: Choi, Seongjin, et al.
Published: (2024)
by: Choi, Seongjin, et al.
Published: (2024)
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
by: Peng, Jiangweizhi, et al.
Published: (2026)
by: Peng, Jiangweizhi, et al.
Published: (2026)
DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
by: Monsefi, Amin Karimi, et al.
Published: (2026)
by: Monsefi, Amin Karimi, et al.
Published: (2026)
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
by: Chen, Wen-Tse, et al.
Published: (2026)
by: Chen, Wen-Tse, et al.
Published: (2026)
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
by: Liu, Tong, et al.
Published: (2024)
by: Liu, Tong, et al.
Published: (2024)
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
by: Graf, Lukas, et al.
Published: (2021)
by: Graf, Lukas, et al.
Published: (2021)
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
by: Guo, Ke, et al.
Published: (2024)
by: Guo, Ke, et al.
Published: (2024)
Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning
by: Kim, WooSeok, et al.
Published: (2026)
by: Kim, WooSeok, et al.
Published: (2026)
UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
by: Lee, Donggyu, et al.
Published: (2026)
by: Lee, Donggyu, et al.
Published: (2026)
Execution-Grounded Credit Assignment for GRPO in Code Generation
by: Kumar, Abhijit, et al.
Published: (2026)
by: Kumar, Abhijit, et al.
Published: (2026)
Generating Origin-Destination Matrices in Neural Spatial Interaction Models
by: Zachos, Ioannis, et al.
Published: (2024)
by: Zachos, Ioannis, et al.
Published: (2024)
Beyond Uniform Credit: Causal Credit Assignment for Policy Optimization
by: Khandoga, Mykola, et al.
Published: (2026)
by: Khandoga, Mykola, et al.
Published: (2026)
Improving After-sales Service: Deep Reinforcement Learning for Dynamic Time Slot Assignment with Commitments and Customer Preferences
by: Mao, Xiao, et al.
Published: (2025)
by: Mao, Xiao, et al.
Published: (2025)
Intrinsic Credit Assignment for Long Horizon Interaction
by: Auzina, Ilze Amanda, et al.
Published: (2026)
by: Auzina, Ilze Amanda, et al.
Published: (2026)
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)
by: Jiang, Xitai, et al.
Published: (2026)
PMA-Diffusion: A Physics-guided Mask-Aware Diffusion Framework for TSE from Sparse Observations
by: Liu, Lindong, et al.
Published: (2025)
by: Liu, Lindong, et al.
Published: (2025)
Reinforcement Learning in Credit Scoring and Underwriting
by: Kiatsupaibul, Seksan, et al.
Published: (2022)
by: Kiatsupaibul, Seksan, et al.
Published: (2022)
Learning to Rank Critical Road Segments via Heterogeneous Graphs with Origin-Destination Flow Integration
by: Xu, Ming, et al.
Published: (2025)
by: Xu, Ming, et al.
Published: (2025)
Similar Items
-
Probabilistic Traffic Forecasting with Dynamic Regression
by: Zheng, Vincent Zhihao, et al.
Published: (2023) -
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
by: Pignatelli, Eduardo, et al.
Published: (2023) -
Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025) -
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
by: Kosieradzki, Mitch, et al.
Published: (2025) -
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
by: Jiang, Sicong, et al.
Published: (2024)