Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. - Karl Kurzer; Matthias Bitzer 001; J. Marius Zöllner (IV, 2022)

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (NeurIPS, 2022)

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (AISTATS, 2023)

Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (UAI, 2023)

Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. - Matthias Bitzer 001; Reinis Cimurs; Benjamin Coors; Johannes Goth; Sebastian Ziesche; Philipp Geiger; Maximilian Naumann (CoRR, 2024)