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Benchmarks & research

mario-play

An original platformer and reinforcement-learning lab testing whether frozen Jev risk features help PPO learn faster.

Source screenshot of mario-play
SOURCE SCREENSHOTFull screenshot ↗

What it does

The reported single-seed pilot found that Jev's frozen risk features did not help PPO reach the target sooner—a useful negative result rather than a claimed win.

How you can use it

A developer can adapt this project to let an AI play a video game. The software sends what happens on the screen to TypeSafe. This outside service then picks the next move, like running or jumping.

To run the AI live, the developer must provide a TypeSafe access key. This key connects the game to the outside service. The project also includes automated players that do not need a key. These test scripts follow fixed rules to play on their own.