Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond hyperscale data centers Up to 80% lower training costs compared to ...