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Kimia Hassanzadeh

2 accepted papers

2021

Learning robust driving policies without online exploration

ICRA 2021poster

We propose a multi-time-scale predictive representation learning method to efficiently learn robust driving policies in an offline manner that generalize well to novel road geometries, and damaged and distracting lane conditions which are not covered in the offline training data. We show that our pr…

Cited by 2SourceScholar
2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving

CoRL 2020

Interaction is fundamental in autonomous driving (AD). Despite more than a decade of intensive R&D in AD, how to dynamically interact with diverse road users in various contexts still remains unsolved. Multi-agent learning has recently seen big breakthroughs and has much to offer towards solving rea