Consequence Learning for Trajectory Planning in Autonomous Driving
Imitation learning (IL) teaches autonomous driving models what an expert does, but not why that action is safe or optimal. This critical gap arises because a single expert trajectory cannot illuminate the broader solution space: a complex performance landscape with multiple, distinct solutions and sharp “performance cl...