Search Results for author: Klemens Esterle

Found 3 papers, 2 papers with code

Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning

no code implementations5 Feb 2021 Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois Knoll

With Deep Reinforcement Learning, optimal driving strategies for such problems can be derived also for higher-dimensional problems.

Autonomous Driving Motion Planning +3

Formalizing Traffic Rules for Machine Interpretability

2 code implementations1 Jul 2020 Klemens Esterle, Luis Gressenbuch, Alois Knoll

We contribute a formalized set of traffic rules for single-direction carriageways, such as on highways.

Robotics

BARK: Open Behavior Benchmarking in Multi-Agent Environments

3 code implementations5 Mar 2020 Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler

As driving tests are costly and challenging scenarios are hard to find and reproduce, simulation is widely used to develop, test, and benchmark behavior models.

Multiagent Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.