I am using a Pong game to learn ML-Agents. I build my game based on ML-Agents Example Tennis. I use multiple Pong Area to train faster. I have 100 Areas in my scene. When I have 25 Areas in my scene I get different results. The cumulative result is higher for 25 Areas training. I used both CPU and GPU training, results are similar. While training, CPU is about %30. FPS is around 4 when using 100 Areas, and around 7 when using 25 Areas. I do not use Update method. I used everything in FixedUpdate method. I use Project Settings Overrides like Tennis examples. Is it normal to have different results? How can I decide on the best Area count? How Can I build and run my game for training? Do I have to play it on Editor for training?