Chaoli Mao

EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving

While deep neural networks (DNN) and inverse reinforcement learning (IRL) have both been commonly used in autonomous driving to predict trajectories through learning from expert demonstrations, DNN-based methods suffer from data-scarcity, while IRL-based approaches often struggle with generalizabili…