Description
Sorry to bother you, I'm back again. I found a possible bug in your project.
I have done many tests in my own projects and your project（Both in Ubuntu20.04）. I found the following problem：
If a function "df.set_plane_yaw()" that sets environment parameters is executed at some point before a function "df.get_plane_state()" that gets environment information is executed, the speed of "df.get_plane_state()" will become very slow, which looks like an abnormal delay. Otherwise, the speed of "df.get_plane_state()" is normal.
The above figure shows the normal speed of obtaining status information. This speed is obviously no problem.
But if I add the "df.set_plane_yaw()" function in front, the following will execute very slowly:
As you can see, the time increased from about 0.0003 to about 0.040 seconds！！
My guess is that this may be because the TCP connection is disconnected when "df.set_plane_yaw()" is executed, and reconnection is required to obtain status information again. There may be other reasons, but I don't know how to solve them.
For single-agent reinforcement learning training, this time delay may be acceptable, but for large-scale multi-agent reinforcement learning, because the state information of each agent needs to be obtained, this delay will greatly affect the training speed. I really need your help！