My ai primarily uses the camera sensor to see AgentViewable layer objects. The camera's target display is set to 2, and the main camera for the game is set to 1, I was unsure if this is why the ai is having such a hard time learning that it can pick up guns and shoot because of the camera display setting. I feel the ai should have been quicker to get to guns and pick them up, aim. Most of my ai just bop around the map until the time runs out. I give heavy rewards for being armed, shooting, and winning, but my ai is mostly content on draw which is a small reward, and plays rubbish. My other ai for a learning project only took a few thousand steps to learn how to get to the goal. This ai doesn't seem to be learning much besides that going out of bounds is a heavy penelty. I have a observation stack of 5 for camera, and I have stacked vector for everything else. I run with self play enabled for teams. I am on 1,100,000 steps. Relative of 21 hours of training.