:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Liang, Xie, Shubin, Deng, Jianming
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Artificial Intelligence Systems and Control
Online Access:	https://arxiv.org/abs/2201.00006
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DynamicLight: Two-Stage Dynamic Traffic Signal Timing
by: Zhang, Liang, et al.
Published: (2022)

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
by: Wang, Maonan, et al.
Published: (2024)

Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths
by: Nandakumar, Anirud, et al.
Published: (2025)

ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
by: Wang, Maonan, et al.
Published: (2022)

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

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
by: Chen, Hanyang, et al.
Published: (2024)

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)

CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
by: Zeng, Jinwei, et al.
Published: (2024)

Spatiotemporal Decision Transformer for Traffic Coordination
by: Su, Haoran, et al.
Published: (2026)

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

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
by: Deng, Yang, et al.
Published: (2025)

SCI: A Metacognitive Control for Signal Dynamics
by: Meesala, Vishal Joshua
Published: (2025)

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)

Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
by: Veksler, Yaron, et al.
Published: (2024)

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
by: Cho, Jung-Hoon, et al.
Published: (2023)

ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors
by: Rap, Jake, et al.
Published: (2025)

Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)

Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models
by: Maddineni, Vinod Kumar, et al.
Published: (2024)

Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks
by: Abdullah, Mohammed Ezzaldin Babiker, et al.
Published: (2026)

HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
by: Zhang, Ziyan, et al.
Published: (2026)

AI-Enhanced Spatial Cellular Traffic Demand Prediction with Contextual Clustering and Error Correction for 5G/6G Planning
by: Alkadamani, Mohamad, et al.
Published: (2026)

Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults
by: Wang, Xinyang, et al.
Published: (2025)

Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
by: Zhang, Ruixuan, et al.
Published: (2024)

Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2026)

A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense
by: Yun, Jihyeon, et al.
Published: (2026)

PACD-Net: Pseudo-Augmented Contrastive Distillation for Glycemic Control Estimation from SMBG
by: Lei, Canyu, et al.
Published: (2026)

Sample-Efficient Diffusion-based Control of Complex Physics Systems
by: Chen, Hongyi, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
by: Pathare, Deepthi, et al.
Published: (2026)

The Asymptotic Behavior of Attention in Transformers
by: Abella, Álvaro Rodríguez, et al.
Published: (2024)

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
by: Lin, Runze, et al.
Published: (2024)

Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)
by: Mostafavi, Saman, et al.
Published: (2023)

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain
by: Jaleel, Wafeeq, et al.
Published: (2025)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)

Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control
by: Forootani, Ali, et al.
Published: (2026)

Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization
by: Shit, Rathin Chandra, et al.
Published: (2025)

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning
by: Minghao, Zhang, et al.
Published: (2025)

Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
by: Balada, Christoph, et al.
Published: (2022)

Runtime-Certified Bounded-Error Quantized Attention
by: Calver, Dean
Published: (2026)

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
by: Khan, Abdullah, et al.
Published: (2024)