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AttendLight: Universal Attention-Based Reinforcement Learning Model for
  Traffic Signal Control

AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control

12 October 2020
Afshin Oroojlooy
M. Nazari
Davood Hajinezhad
Jorge Silva
ArXivPDFHTML

Papers citing "AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control"

11 / 11 papers shown
Title
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
Mingyuan Li
Jiahao Wang
Bo Du
Jun Shen
Qiang Wu
56
1
0
28 Jan 2025
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
Rohit Bokade
Xiaoning Jin
OffRL
39
0
0
10 Nov 2024
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic
  Signal Control
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
Maonan Wang
Xi Xiong
Yuheng Kan
Chengcheng Xu
Man-On Pun
16
9
0
08 Dec 2023
HumanLight: Incentivizing Ridesharing via Human-centric Deep
  Reinforcement Learning in Traffic Signal Control
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
Dimitris M. Vlachogiannis
Hua Wei
S. Moura
Jane Macfarlane
39
7
0
05 Apr 2023
LibSignal: An Open Library for Traffic Signal Control
LibSignal: An Open Library for Traffic Signal Control
Hao Mei
Xiaoliang Lei
Longchao Da
Bin Shi
Hua Wei
AI4TS
24
18
0
19 Nov 2022
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely
  Limited Resources
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
Dong Xing
Qian Zheng
Qianhui Liu
Gang Pan
11
7
0
01 May 2022
DynLight: Realize dynamic phase duration with multi-level traffic signal
  control
DynLight: Realize dynamic phase duration with multi-level traffic signal control
Li Zhang
Shubin Xie
J. Deng
40
0
0
07 Apr 2022
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal
  Control
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
Xingshuai Huang
Di Wu
M. Jenkin
Benoit Boulet
13
15
0
15 Nov 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning
  for Decentralized Traffic Signal Control
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
Liwen Zhu
Peixi Peng
Zongqing Lu
Xiangqian Wang
Yonghong Tian
15
20
0
04 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
437
11,715
0
09 Mar 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
1