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AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction
Such a long-tail effect causes prediction models to underperform on the tail portion of the data distribution containing safety-critical scenarios.
Ranked #1 on
Trajectory Prediction
on ETH/UCY
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction
Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving.
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization
Moreover, no existing studies have employed reinforcement learning for homogeneous flow rate optimization in microscopic simulation, where spatial characteristics, vehicle-level information, and metering realizations -- often overlooked in macroscopic simulations -- are taken into account.
