RL framework for 2v2 kart soccer

• slimevolleygym

  3 698 3.2 Python

  A simple OpenAI Gym environment for single and multi-agent reinforcement learning

Hi great that you are interested in the area, but as a beginner project is quite complex, having a team is a multi-agent task so not a small feat and i guess you want the same policy to play against itself? what is know as selfplay. which is not so hard to understand but a little bit in the tech part. Look a this 1v1 environment has a tutorial where they show selfplay and other single agent approaches using a well known RL Pytorch implementations. and for the policy optimization algorithm as the tutorial before you should go with PPO (which is a on-policy method like reinforce). there is something called HER for sparse reward but it works with off-policy methods like ddpg or sac. read a little bit more about this and then you will get the idea. My suggestion if you dont have extend experience try a supervise learning approach, where you have a dataset where the action is the label to be predicted and the observation is the input, MSE for the loss. like predicting the stering wheel angle from the image of the road kind of setup.

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