Multi-Agent-Reinforcement-Learning-Environment icon indicating copy to clipboard operation
Multi-Agent-Reinforcement-Learning-Environment copied to clipboard

Regarding the env_Soccer

Open PrashanTrivedi opened this issue 3 years ago • 0 comments

Hi. Thanks for putting up all these envs. It is really helpful for a person like me who is new to both RL and Python,

It will be very helpful if you can let me know what are the local rewards to each agent for every action. The reason why I am asking is that the overall objective is to score the goals (and defend them by the opponent team), but there must be some incentive for each agent to perform the given actions, or is the reward +10 and -10 sufficient?

I am eagerly waiting for your response. Thanks.

PrashanTrivedi avatar May 29 '21 14:05 PrashanTrivedi