Published on: 2025-05-10 00:41:43
Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves, those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste. To train efficient flow-smoothing c
Keywords: avs fuel rl traffic vehicles
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