Comments (2)
I will answer your questions using English in case someone who does not understand Chinese also finds it useful.
- 论文中提到TTC阈值取值选择7s,而代码中为何是4.001s?
Ans: We tested TTC threshold from 1s to 10s and selected 7s. So the 4.001s is just one version during development. Just change to 7s is fine. - 论文中提到对动作的探索采用的是OU过程,而代码中为何是采用高斯噪声?
Ans: Using Gaussian noise is fine. - 论文中提到加速度的范围是[-3,3],而代码中action_Bound=2,但舒适性奖励时为何仍使用jerk**2/3600来计算?
Ans: Using action bound = 3 is fine. You can adjust 3600 to see the effects. The weights really influence performance. - Main文件210-214行有关episode奖励的部分中,为何episode的奖励要用score /= duration这样一种平均奖励来描述而不是直接用完成一个epsode时得到的累计奖励,并且duration = data.shape[0],其数值等于NGSIM数据集中某个跟车事件的总时刻点数(总时间/0.1),但是若中途发生碰撞,duration的数值应该是小于data.shape[0]的,这个地方不太明白
Ans: episode reward is only used to see the training process. What RL maximize is still the total cumulative rewards. - 论文中公式(7)中对于车距的计算公式与simulation_env文件51行的公式不一样,请问有什么考量吗?
Ans: no, just for simplity.
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Thanks a lot!
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