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20222024
most citedLearning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search

8 citations · 10 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2022★ 2 cited

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport

Matthias Bitzer, Mona Meister, Christoph Zimmer

Despite recent advances in automated machine learning, model selection is still a complex and computationally intensive process. For Gaussian processes (GPs), selecting the kernel…

cs.LG2022★ 8 cited

Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search

Karl Kurzer, Matthias Bitzer, J. Marius Zöllner

Cooperative trajectory planning methods for automated vehicles can solve traffic scenarios that require a high degree of cooperation between traffic participants. However, for coop…