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Document type:
Konferenzbeitrag 
Contribution type:
Vortrag / Präsentation 
Author(s):
Patrick Hart, Alois Knoll 
Title:
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments 
Abstract:
Most reinforcement learning approaches used in behavior generation utilize vectorial information as input. However, this requires the network to have a pre-defined input-size -- in semantic environments this means assuming the maximum number of vehicles. Additionally, this vectorial representation is not invariant to the order and number of vehicles. To mitigate the above-stated disadvantages, we propose combining graph neural networks with actor-critic reinforcement learning. As graph neural ne...    »
 
Book / Congress title:
Intelligent Vehicles Symposium 
Year:
2020