In Minecraft, PROWL dramatically improved world model performance across physics, visuals, action following, and long-horizon consistency.
A really promising lever of scale for world models.
What if world models could learn by discovery?
Today we’re sharing PROWL: RL agents that explore game environments, simulators, and eventually robots to discover failures in a world model.
This loop of learning is fully automated!