activity
20192024
most citedAddressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

33 citations · 68 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.MA2020

Robust Stochastic Bayesian Games for Behavior Space Coverage

Julian Bernhard, Alois Knoll

A key challenge in multi-agent systems is the design of intelligent agents solving real-world tasks in close interaction with other agents (e.g. humans), thereby being confronted w…

cs.MA2020

BARK: Open Behavior Benchmarking in Multi-Agent Environments

Julian Bernhard, Klemens Esterle, Patrick Hart +1

Predicting and planning interactive behaviors in complex traffic situations presents a challenging task. Especially in scenarios involving multiple traffic participants that intera…