User: Guest  Login
Document type:
Konferenzbeitrag 
Author(s):
Patrick Hart, Alois Knoll 
Title:
Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving 
Abstract:
Learning-based approaches, such as reinforcement and imitation learning are gaining popularity in decision-making for autonomous driving. However, learned policies often fail to generalize and cannot handle novel situations well. Asking and answering questions in the form of "Would a policy perform well if the other agents had behaved differently?" can shed light on whether a policy has seen similar situations during training and generalizes well. In this work, a counterfactual policy evaluation...    »
 
Book / Congress title:
IROS 2020 Workshop Perception, Learning, and Control for Autonomous Agile Vehicles 
Year:
2020