most citedZero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning

27 citations · 42 across the 4 of their papers we have counts for

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eess.SY2019★ 27 cited

Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning

Behdad Chalaki, Logan E. Beaver, Ben Remer +4

In this article, we demonstrate a zero-shot transfer of an autonomous driving policy from simulation to University of Delaware's scaled smart city with adversarial multi-agent rein…

eess.SY2018★ 11 cited

Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles

Kathy Jang, Eugene Vinitsky, Behdad Chalaki +4

Using deep reinforcement learning, we train control policies for autonomous vehicles leading a platoon of vehicles onto a roundabout. Using Flow, a library for deep reinforcement l…