RL-Recruiters

We built an OpenEnv RL environment that trains an LLM to act as a Staffing Agency CEO over a 52-week simulated year. Inspired by VendingBench, it features brutal economics: hired candidates sitting on the "bench" bleed weekly salaries, while massive profits only unlock when multi-role corporate projects are fully staffed before strict deadlines. The agent starts blind. It must spend actions to "interview" candidates, triggering a background LLM Judge to score hidden skills and flag culture risks. The Problem It Solves: 1. Long-Horizon Planning (Statement 2): We push LLMs beyond shallow, single-turn reasoning. The agent must survive sparse, delayed rewards and manage a complex P&L over 52 steps, avoiding the trap of blindly hiring everyone. 2. HR Workflow (Scale AI): Traditional staffing agencies are bloated and slow. We decentralize human capital routing so every solo freelancer can operate with the capacity of a million-dollar agency.