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ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway
  Traffic Control

ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control

10 May 2019
Yuankai Wu
Huachun Tan
Zhuxi Jiang
B. Ran
ArXiv (abs)PDFHTML

Papers citing "ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control"

5 / 5 papers shown
Title
Improving Exploration in Evolution Strategies for Deep Reinforcement
  Learning via a Population of Novelty-Seeking Agents
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
63
347
0
18 Dec 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
140
4,485
0
07 Jun 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
92
1,538
0
10 Mar 2017
Expert Level control of Ramp Metering based on Multi-task Deep
  Reinforcement Learning
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning
Francois Belletti
Daniel Haziza
G. Gomes
Alexandre M. Bayen
45
139
0
30 Jan 2017
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
152
1,610
0
21 May 2016
1