:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Ming, Liu, Xiao-Yang, Borst, Sem, Walid, Anwar
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2302.03669
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

Applying Reinforcement Learning to Optimize Traffic Light Cycles
by: Son, Seungah, et al.
Published: (2024)

FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control
by: Ye, Yutong, et al.
Published: (2025)

HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
by: Zhu, Yaqiao, et al.
Published: (2025)

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
by: Han, Xiao, et al.
Published: (2024)

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)

SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control
by: Gu, Hankang, et al.
Published: (2025)

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
by: Zong, Zefang, et al.
Published: (2021)

Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning
by: Li, Xiaocan, et al.
Published: (2024)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)

Single-agent Reinforcement Learning Model for Regional Adaptive Traffic Signal Control
by: Li, Qiang, et al.
Published: (2025)

Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
by: Lesy, Bavo, et al.
Published: (2024)

Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
by: Wan, Zelin, et al.
Published: (2024)

Deep Reinforcement Learning Agents are not even close to Human Intelligence
by: Delfosse, Quentin, et al.
Published: (2025)

DataLight: Offline Data-Driven Traffic Signal Control
by: Zhang, Liang, et al.
Published: (2023)

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)

Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
by: Sun, Luning, et al.
Published: (2025)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)

FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
by: Liu, Xiao-Yang, et al.
Published: (2024)

Robust Single-Agent Reinforcement Learning for Regional Traffic Signal Control Under Demand Fluctuations
by: Li, Qiang, et al.
Published: (2025)

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
by: Haider, Momin, et al.
Published: (2024)

MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
by: Lee, Sunbowen, et al.
Published: (2024)

A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy
by: Liao, Xiao-Cheng, et al.
Published: (2025)

Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks
by: Wei, Dixiao, et al.
Published: (2024)

BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions
by: Liu, Xiao, et al.
Published: (2024)

TransferLight: Zero-Shot Traffic Signal Control on any Road-Network
by: Schmidt, Johann, et al.
Published: (2024)

ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems
by: Yar, Rai Ali, et al.
Published: (2026)

Safe Urban Traffic Control via Uncertainty-Aware Conformal Prediction and World-Model Reinforcement Learning
by: Chandra, Joydeep, et al.
Published: (2026)

Embracing Large Language Models in Traffic Flow Forecasting
by: Zhao, Yusheng, et al.
Published: (2024)

Time Series Representation Models
by: Leppich, Robert, et al.
Published: (2024)

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2025)

Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
by: Zhu, Wang, et al.
Published: (2024)

Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control
by: De Monte, Riccardo, et al.
Published: (2026)

Broad Critic Deep Actor Reinforcement Learning for Continuous Control
by: Thalagala, Shiron, et al.
Published: (2024)

Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
by: Wang, Rushan, et al.
Published: (2024)

Interpreting Emergent Planning in Model-Free Reinforcement Learning
by: Bush, Thomas, et al.
Published: (2025)

Efficient Prompt Learning for Traffic Forecasting
by: Zhang, Qianru, et al.
Published: (2026)

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)