Multi-agent deep RL controllers trained by self-play achieve near-optimal collision avoidance in simulated highway merging with three or more vehicles.
Fuad Fahruddin Achmad Ali Fikri, Syamsul Arifin
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A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
Multi-agent deep RL controllers trained by self-play achieve near-optimal collision avoidance in simulated highway merging with three or more vehicles.