# Overflow

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Steve Kuo](https://cerebralvalley.ai/u/stevedusty), [Shryuk Grandhi](https://cerebralvalley.ai/u/ShryukG), [Aksh Parekh](https://cerebralvalley.ai/u/aparekh02)
- **GitHub:** https://github.com/aparekh02/overflow
- **Website:** https://colab.research.google.com/drive/15OooQrPhsUUYc0C7-tAmtd4ymxEcwQGi?usp=sharing
- **Demo video:** https://www.loom.com/share/4a74c1ab0e3a4fcd97e10da5115de849
- **Hugging Face:** https://huggingface.co/spaces/SteveDusty/overflow_env
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/60

We’re building a Waymo-style autonomous driving simulator UI that continuously generates and compares “counterfactual” rollouts driven by an OpenEnv policy. The main screen replays a base scenario, while a dashboard shows a camera-grid of parallel simulations that are identical except for one thing: the green ego car’s actions, updated every few seconds from (actions + rewards). Every 10 seconds, three new variants spawn from the current moment, letting users visually see how different ego decisions change safety proxies and reward outcomes. A 3D knowledge graph links scenarios, incidents/tickets, actions, metrics, and rewards to make the system verifiable and easy to explain—turning autonomous driving review into an interactive, multi-agent oversight and improvement workflow.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/60. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt