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Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.
Qi Liu
Zirui Li
Xueyuan Li
Jingda Wu
Shihua Yuan
Published in:
ITSC (2022)
Keyphrases
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multi agent decision making
reinforcement learning
multi agent
graph representation
random walk
graph theory
directed graph
reinforcement learning algorithms
function approximation
weighted graph
graph model
model free
user interaction
structured data
temporal difference
image processing
state space