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ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal
  Control

ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control

15 November 2021
Xingshuai Huang
Di Wu
M. Jenkin
Benoit Boulet
ArXivPDFHTML

Papers citing "ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control"

19 / 19 papers shown
Title
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Zihao Sheng
Zilin Huang
Sikai Chen
69
10
0
30 Aug 2024
AttendLight: Universal Attention-Based Reinforcement Learning Model for
  Traffic Signal Control
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy
M. Nazari
Davood Hajinezhad
Jorge Silva
58
85
0
12 Oct 2020
GeneraLight: Improving Environment Generalization of Traffic Signal
  Control via Meta Reinforcement Learning
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
Chang-rui Liu
Huichu Zhang
Weinan Zhang
Guanjie Zheng
Yong Yu
36
42
0
17 Sep 2020
Large-Scale Traffic Signal Control Using a Novel Multi-Agent
  Reinforcement Learning
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
Xiaoqiang Wang
Liangjun Ke
Zhimin Qiao
Xinghua Chai
40
112
0
10 Aug 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
59
361
0
03 Jul 2019
Learning Phase Competition for Traffic Signal Control
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng
Yuanhao Xiong
Xinshi Zang
J. Feng
Hua Wei
Huichu Zhang
Yong Li
Kai Xu
Z. Li
42
223
0
12 May 2019
Diagnosing Reinforcement Learning for Traffic Signal Control
Diagnosing Reinforcement Learning for Traffic Signal Control
Guanjie Zheng
Xinshi Zang
Nan Xu
Hua Wei
Zhengyao Yu
Vikash V. Gayah
Kai Xu
Z. Li
53
90
0
12 May 2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei
Nan Xu
Huichu Zhang
Guanjie Zheng
Xinshi Zang
Chacha Chen
Weinan Zhang
Yanmin Zhu
Kai Xu
Z. Li
59
355
0
11 May 2019
Learning to Paint With Model-based Deep Reinforcement Learning
Learning to Paint With Model-based Deep Reinforcement Learning
Zhewei Huang
Wen Heng
Shuchang Zhou
GAN
63
153
0
11 Mar 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
109
851
0
01 Mar 2019
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement
  Learning
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
Nathan Lambert
Daniel S. Drew
Joseph Yaconelli
Roberto Calandra
Sergey Levine
K. Pister
43
145
0
11 Jan 2019
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
66
225
0
14 Sep 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with
  Theoretical Guarantees
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo
Huazhe Xu
Yuanzhi Li
Yuandong Tian
Trevor Darrell
Tengyu Ma
OffRL
92
225
0
10 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
192
1,263
0
30 May 2018
Learning to Adapt in Dynamic, Real-World Environments Through
  Meta-Reinforcement Learning
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi
I. Clavera
Simin Liu
R. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
104
540
0
30 Mar 2018
Model-Ensemble Trust-Region Policy Optimization
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach
I. Clavera
Yan Duan
Aviv Tamar
Pieter Abbeel
60
450
0
28 Feb 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
83
967
0
08 Aug 2017
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
781
11,793
0
09 Mar 2017
Path Integral Guided Policy Search
Path Integral Guided Policy Search
Yevgen Chebotar
Mrinal Kalakrishnan
Ali Yahya
A. Li
S. Schaal
Sergey Levine
71
149
0
03 Oct 2016
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