1. Hey sir, Thanks for your great work and contributions. I have run the script for highway_env with DQN with ego_attention. But I cannot figure out how to display the attention lines (like you in your int_ego_attention experiment). When you record the videos, is there a way to display the attention lines? If not, what other ways can i use to observe the attention of the vehicle? I am interested in ways to visualize them. Maybe attention maps? Or heat maps? But as a beginner in the field I don't know how to figure that out yet, I was hoping you could help me.

2. Another thing is about the vehicles velocity, I want to plot the velocity vs time for the entire training duration, I don't know how to do it.

3. Also Tensorboard's plots don't have axis names on the plots, is there a way to modify the plots displayed by tensorboard (logs)? And/or add some new plots to it from ?

https://github.com/eleurent/rl-agents/assets/149097708/e0016937-65e5-4724-9cae-ccc2a5dd0d0b
4. In this video, the agent keep going back and forth from one lane to another, I am thinking this behavior is linked to the reward of lane changing? What do you think? How can it be adjusted to avoid it happening in this case?

Sorry if it is a bit messy, please feel free to answer at your convenience.