The problem of reward performance

[Louise599]

Hello, thank you very much for open sourcing such a great project. I am running the code:
python experiments.py evaluate configs/IntersectionEnv/env.json using the command
configs/IntersectionEnv/agents/DQNAgent/baseline.json
--train --episodes=4000 --name-from-config,
the reward graph I get is unstable. I hope to get your help, thanks a lot!

[kongxincaizi]

hi，I also encountered the same problem.
In tensorboard, all of my curves did not converge.
Have you solved this problem now？

[kongxincaizi]

Perhaps I have found a solution. Adjust the smoothness index in tensorboard