 We present a behavior-driven simulator that can generate trajectories corresponding to different levels of aggressive behaviors and use our simulator to train a policy using graph convolutional networks .
<meaning-changed>  We present a behavior-driven simulator that can generate trajectories corresponding to different levels of aggressive behaviors and use our simulator to train a policy using graph convolutional networks .
 We present a behavior-driven simulator that can generate trajectories corresponding to different levels of aggressive behaviors and use our simulator to train a reinforcement learning policy using a multilayer perceptron neural network .