Hi, how exactly did you train the DQN adversary agent for the battle environment? As far as I can see MAgent does not have pre-trained models so I assume you must have trained it using the train_battle.py script. If so, what configuration did you use? Was it a L vs L battle? What was the map size? Were all the parameters default? Is it possible to get the model itself?