u/cl50803

I tested Adapt-1, a non-LLM learning and reasoning system by Rei Labs, by having it learn and play Super Mario Bros, and it performed quite well.

I tried it on World 1-1, starting untrained. It learned a reactive policy from its own play in about 36 minutes of gameplay, then cleared the level with learning off.

With Machina, Adapt-1's sequence engine. Starting untrained, it found a button sequence that reaches the flag after 403 attempts, in 11 wall-clock minutes.

Full thread: https://x.com/hsrvc_/status/2106025501752234112?s=20

Code, the exact data, traces, clips and a step-by-step guide with costs are all public: https://github.com/hsrvc/adapt1-mario