Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search. - Karl Kurzer; Florian Engelhorn; J. Marius Zöllner (ITSC, 2018)

Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search. - Karl Kurzer; Chenyang Zhou 002; Johann Marius Zöllner (Intelligent Vehicles Symposium, 2018)

Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States. - Peter Wolf; Karl Kurzer; Tobias Wingert; Florian Kuhnt; J. Marius Zöllner (Intelligent Vehicles Symposium, 2018)

Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search. - Karl Kurzer; Marcus Fechner; J. Marius Zöllner (IV, 2020)

Parallelization of Monte Carlo Tree Search in Continuous Domains. - Karl Kurzer; Christoph Hörtnagl; J. Marius Zöllner (CoRR, 2020)

Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning. - Karl Kurzer; Philip Schörner; Alexander Albers; Hauke Thomsen; Karam Daaboul; J. Marius Zöllner (IV, 2021)

Cooperative Trajectory Planning in Uncertain Environments With Monte Carlo Tree Search and Risk Metrics. - Philipp Stegmaier; Karl Kurzer; J. Marius Zöllner (ITSC, 2022)

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)