Showing cs.LGShow all
3 papers · 1 filter
cs.LG2020
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…
cs.LG2020
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…
cs.LG2020
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…