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Traffic Light Control Using Deep Policy-Gradient and Value-Function
  Based Reinforcement Learning
v1v2 (latest)

Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning

28 April 2017
Seyed Sajad Mousavi
Michael Schukat
Enda Howley
ArXiv (abs)PDFHTML

Papers citing "Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning"

15 / 65 papers shown
Title
Towards Robust Deep Reinforcement Learning for Traffic Signal Control:
  Demand Surges, Incidents and Sensor Failures
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures
Filipe Rodrigues
Carlos Lima Azevedo
112
21
0
17 Apr 2019
A Survey on Traffic Signal Control Methods
A Survey on Traffic Signal Control Methods
Hua Wei
Guanjie Zheng
Vikash V. Gayah
Ruoyao Xiao
155
268
0
17 Apr 2019
A Solution for Dynamic Spectrum Management in Mission-Critical UAV
  Networks
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks
Alireza Shamsoshoara
M. Khaledi
Fatemeh Afghah
Abolfazl Razi
Jonathan D. Ashdown
K. Turck
105
27
0
16 Apr 2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence
  Deep Learning Approach
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning ApproachPLoS ONE (PLoS ONE), 2019
Sajad Mousavi
Fatemeh Afghah
U. R. Acharya
190
426
0
05 Mar 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
278
913
0
31 Dec 2018
Distributed Cooperative Spectrum Sharing in UAV Networks Using
  Multi-Agent Reinforcement Learning
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning
Alireza Shamsoshoara
M. Khaledi
Fatemeh Afghah
Abolfazl Razi
Jonathan D. Ashdown
108
77
0
13 Nov 2018
Deep Reinforcement Learning for Traffic Light Control in Vehicular
  Networks
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Xiaoyuan Liang
Xunsheng Du
Guiling Wang
Zhu Han
131
468
0
29 Mar 2018
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
815
1,719
0
25 Jan 2017
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Wade Genders
S. Razavi
106
304
0
03 Nov 2016
Deep learning is competing random forest in computational docking
Deep learning is competing random forest in computational docking
Mohamed A. Khamis
Walid Gomaa
Basem Galal
53
8
0
23 Aug 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
706
9,568
0
04 Feb 2016
Gradient Estimation Using Stochastic Computation Graphs
Gradient Estimation Using Stochastic Computation GraphsNeural Information Processing Systems (NeurIPS), 2015
John Schulman
N. Heess
T. Weber
Pieter Abbeel
OffRL
369
399
0
17 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.5K
160,594
0
22 Dec 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
279
13,171
0
19 Dec 2013
Experiments with Infinite-Horizon, Policy-Gradient Estimation
Experiments with Infinite-Horizon, Policy-Gradient EstimationJournal of Artificial Intelligence Research (JAIR), 2001
Jonathan Baxter
Peter L. Bartlett
Lex Weaver
248
171
0
03 Jun 2011
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