Percepta is hiring for interpretable world modeling

A Percepta researcher says they’re hiring for an interpretable world modeling effort. The goal is for an agent to build a simulator, understand a company and design a policy, all from unstructured data. They describe environment design as a longstanding bottleneck in reinforcement learning and say the team is trying to automate it for real systems.