# Peter Wang - **Website:** - **Primary alias:** `offpolicyinc.com` ## Description Off Policy is a research and product studio exploring how technology can deepen people’s engagement with the things they love. Its work spans sports, games, and science, with projects that combine artificial intelligence, evaluation methods, interactive experiences, and analysis of movement and behavior. In sports, Off Policy has examined tennis technique, including comparisons of Roger Federer’s strokes over time, motion sequencing, and advice generated from the mechanics of professional players. Its games projects include open-source reinforcement-learning environments, AI agents for Warcraft III, and experiments that turn prompts into games. In science, the studio has explored AI-assisted analysis of fruit-fly connectomes and neural models. Off Policy also develops evaluations of frontier models, including XBench, and features products such as Dragonslayer. The site presents a mix of research, experiments, and playable projects rather than a single product line, inviting visitors to explore how emerging tools can support richer human experiences. Off Policy lists Peter Wang and Nico Christie and provides an email contact for inquiries. ## Industries - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ - 🏈 Sports - 🏈 Tennis _(under Sports)_ ## Links - [twitter](https://twitter.com/BrainsAndTennis) ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/id4brwWZAC/w/180/h/180/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1793027835504) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/id4brwWZAC/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1793027835704) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Alizarin Crimson | #e52228 | accent | | Cod Gray | #111111 | dark | | White | #ffffff | light | --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._