Reward Setting for simple_tag.py about multiagent-particle-envs

[Kimonili]

Hi @hiroignis I also noticed that. I Would like to ask you something else as well. I have been training 4 adversaries and 1 good agent in the simple tag scenario, but while for the same steps the good agent recieves rewards like -10.0000, -9.7257, or -17.5386, -18.1665, -19.3938, -20.0000 the adversaries always recieve 0. I think that the result of -10 for the good agent is because of the collision with one of the adversaries, but for the same step in the environment no adversary recieves +10 for this collision, but as I mentioned it is always 0.

Is this normal?

Additionaly, the rewards of the good agent that are not a result of a collision (-10 and -20) are due to the penalty function for exiting the bounds of the environment?

Thank you in advance!