I just built a reinforcement-learning agent in GoDot to absolutely crush Brackey’s tutorial game—had a blast tackling a super tough custom environment, got inspired by a mining-optimization demo, and can’t wait to dive deeper into RL with GoDotRL. Big thanks to Ed Beeching and of course Brackeys for the original tutorial!
All the code (14 versions so far!) is on GitHub, and I can share the ~167 MB environment files via Git LFS if you want to play around. I’m off to present in Florida tomorrow—hit me up if you’re around!
Watch on YouTube
Top comments (0)