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Document type:
Zeitschriftenaufsatz 
Author(s):
Bernhard, Julian; Knoll, Alois 
Title:
Robust Stochastic Bayesian Games for Behavior Space Coverage 
Abstract:
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 with a variety of behavioral variations and limited knowledge about the true behaviors of observed agents. The practicability of existing works addressing this challenge is being limited due to using finite sets of hypothesis for behavior prediction, the lack of a hypothesis design process ensuring coverage over all beh...    »
 
Journal title:
Robotics: Science and Systems (RSS), Workshop on Interaction and Decision-Making in Autonomous-Driving 
Year:
2020 
Notes:
Best Paper Award