Artificial Intelligence, Machine Learning, Data Science, Technology, Reinforcement Learning.
great help. So, Mean Field Q-Learning can be used where we move on with a baseline assumption that all other agents behave in the same average or mean way as the current agent. Hence instead of feeding action by each agent separately to the DQN, we would be calculating a single mean action vector