02 - Open Office
OpenEnv Hackathon SFProblem Existing RL setups lack the organizational complexity, role-based coordination, and dynamic market conditions that define how real companies operate. There is no adequate environment for training agents to collaborate and compete under real strategic pressure. Solution A multi-agent RL environment modeled on a startup's go-to-market motion. Agents represent real roles: CEO, Marketing, Sales, Dev, Planning, Content, and a Customer reward oracle. Each observes its local state, takes actions, receives a reward signal, and learns optimal behavior across episodes while coordinating with the full system. Five scenarios stress-test the environment: Baseline GTM Launch, Competitor Launch, Series A Pressure, Churn Spike, and Viral Moment. Multi-agent. Multi-mind. One office.
