Chu-Dong Lin

Behavior decision-making of intelligent vehicles using budgeted reinforcement learning

A hierarchical framework for behavior decision-making and motion planning that explicitly accounts for the dynamic balance between safety and driving efficiency is proposed, and achieves a highly comparable safety-efficiency trade-off frontier to constrained MDP benchmarks but under a single unified network framework.