Welcome

I trained 1,500 parallel bots to play DDNet, a cooperative 2D platformer with grappling hooks, freeze mechanics, and maps that take humans hours to complete. This is what it looks like: I grew up playing this game. Back in high school I watched SethBling’s MarI/O, a neural network learning to play Super Mario World, and immediately thought: what if I could do this for DDNet? Years later, Yosh’s RL agent teaching itself TrackMania brought the idea back. By that point I’d studied computer science and actually had the tools to try. So I did. ...

First post on the blog.