Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion

12 October 2020

Papers citing "Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion"

6 / 6 papers shown

Title
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network Jiqian Dong Sikai Chen P. Ha Yujie Li Samuel Labi 38 37 0 12 Oct 2020
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control Jiqian Dong Sikai Chen Yujie Li Runjia Du Aaron Steinfeld Samuel Labi 36 11 0 30 Sep 2020
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 556 5,457 0 20 Dec 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 439 28,901 0 09 Sep 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 191 13,174 0 09 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 808 149,474 0 22 Dec 2014