112 citations · 552 across the 38 of their papers we have counts for
4 papers · 1 filter
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments
Patrick Hart, Alois Knoll
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…
Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization
Patrick Hart, Leonard Rychly, Alois Knol
Many current behavior generation methods struggle to handle real-world traffic situations as they do not scale well with complexity. However, behaviors can be learned off-line usin…
Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving
Patrick Hart, Alois Knoll
Learning-based approaches, such as reinforcement and imitation learning are gaining popularity in decision-making for autonomous driving. However, learned policies often fail to ge…
Graph Neural Networks for Modelling Traffic Participant Interaction
Frederik Diehl, Thomas Brunner, Michael Truong Le +1
By interpreting a traffic scene as a graph of interacting vehicles, we gain a flexible abstract representation which allows us to apply Graph Neural Network (GNN) models for traffi…