In this paper, a multi-objective task scheduling algorithm is proposed based on the decision tree in a heterogenous environment ... the Entropy Weight Method (TOPSIS-EWM), and combining Q-Learning ...

A motion decision-making model based on deep reinforcement learning (DRL) is proposed in this work. To optimize the driving policy, a multi-objective reward function is designed to guide the ...