103 citations · 112 across the 19 of their papers we have counts for
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cs.MA2020★ 103 cited
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently i…
cs.RO2020
Perception as prediction using general value functions in autonomous driving applications
Daniel Graves, Kasra Rezaee, Sean Scheideman
We propose and demonstrate a framework called perception as prediction for autonomous driving that uses general value functions (GVFs) to learn predictions. Perception as predictio…