Abstract
No public abstract is available from the verified source records.
Abolfazl Afshari, Joyoung Lee
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Traffic light control using hierarchical reinforcement learning and options framework
10.1109/access.2021.3096666 · 2021
Unleashing the potential of prompt engineering for large language models
10.1016/j.patter.2025.101260 · 2025
Multi-agent deep reinforcement learning for large-scale traffic signal control
10.1109/tits.2019.2901791 · 2020
Unresolved referenced work
2025
Unresolved referenced work
2017
Unresolved referenced work
2025
Unresolved referenced work
2016
Large language models and their applications in roadway safety and mobility enhancement: A comprehensive review
2025
LLMLight: Large language models as traffic signal control agents
2025
Traffic signal timing via deep reinforcement learning
10.1109/jas.2016.7508798 · 2016
Generative AI for self-adaptive systems: State of the art and research roadmap
10.1145/3686803 · 2024
Large language models (LLMs) as traffic control systems at urban intersections: A new paradigm
10.3390/vehicles7010011 · 2025
Traffic signal control via reinforcement learning: A review on applications and innovations
10.3390/infrastructures10050114 · 2025
Influence of road and traffic conditions on emissions and fuel consumption of light vehicles in a real urban driving cycle
10.1007/s11356-025-36573-3 · 2025
AttendLight: Universal attention-based reinforcement learning model for traffic signal control
2020
Unresolved referenced work
2024
Coordinated deep reinforcement learners for traffic light control
2016
Unresolved referenced work
2024
A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control
10.1186/s40537-025-01104-x · 2025
Bridging the black box: A survey on mechanistic interpretability in AI
10.1145/3787104 · 2026
Unresolved referenced work
2025
Deep reinforcement learning-based traffic signal control using high-resolution event-based data
10.3390/e21080744 · 2019
STMARL: A spatio-temporal multi-agent reinforcement learning approach for cooperative traffic light control
10.1109/tmc.2020.3033782 · 2022
PressLight: Learning max pressure control to coordinate traffic signals in arterial network
2019
Unresolved referenced work
2023
CoLight: Learning network-level cooperation for traffic signal control
2019
MetaLight: Value-based meta-reinforcement learning for traffic signal control
2020
Learning phase competition for traffic signal control
2019
STMARL: A spatio-temporal multi-agent reinforcement learning approach for cooperative traffic light control
10.1109/tmc.2020.3033782 · doi-reference
Deep reinforcement learning-based traffic signal control using high-resolution event-based data
10.3390/e21080744 · doi-reference
Bridging the black box: A survey on mechanistic interpretability in AI
10.1145/3787104 · doi-reference
A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control
10.1186/s40537-025-01104-x · doi-reference
Influence of road and traffic conditions on emissions and fuel consumption of light vehicles in a real urban driving cycle
10.1007/s11356-025-36573-3 · doi-reference
Traffic signal control via reinforcement learning: A review on applications and innovations
10.3390/infrastructures10050114 · doi-reference
Large language models (LLMs) as traffic control systems at urban intersections: A new paradigm
10.3390/vehicles7010011 · doi-reference
Generative AI for self-adaptive systems: State of the art and research roadmap
10.1145/3686803 · doi-reference
Traffic signal timing via deep reinforcement learning
10.1109/jas.2016.7508798 · doi-reference
Multi-agent deep reinforcement learning for large-scale traffic signal control
10.1109/tits.2019.2901791 · doi-reference
Unleashing the potential of prompt engineering for large language models
10.1016/j.patter.2025.101260 · doi-reference
Traffic light control using hierarchical reinforcement learning and options framework
10.1109/access.2021.3096666 · doi-reference