no code implementations • 5 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.
no code implementations • 5 Feb 2021 • Julian Bernhard, Stefan Pollok, Alois Knoll
Specifically, we first learn an optimal policy in an uncertain environment with Deep Distributional Reinforcement Learning.
Distributional Reinforcement Learning Reinforcement Learning (RL)
no code implementations • 5 Feb 2021 • Julian Bernhard, Alois Knoll
In this work, we adopt this safety objective for interactive planning.
3 code implementations • 5 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