VRLS is a single reinforcement learning formulation for V2V resource scheduling that works across different densities and channel conditions, reduces collisions and half-duplex errors relative to prior schedulers, and supports transfer with limited retraining.
On combating the half-duplex constraint in modern cooperative net- works: protocols and techniques,
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VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications
VRLS is a single reinforcement learning formulation for V2V resource scheduling that works across different densities and channel conditions, reduces collisions and half-duplex errors relative to prior schedulers, and supports transfer with limited retraining.