# NoTeam

- **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:** [Yury Kirpichev](https://cerebralvalley.ai/u/ykirpichev), [George Karpenkov](https://cerebralvalley.ai/u/georgek)
- **GitHub:** https://github.com/ykirpichev/road-traffic-simulator-env
- **Website:** https://github.com/ykirpichev/road-traffic-simulator-env/blob/master/train_grpo_qwen_3_vl_7b.py
- **Demo video:** https://youtu.be/pCr5hqo4x3k
- **Hugging Face:** https://huggingface.co/spaces/openenv-community/road-traffic-simulator-env
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/17

Road Traffic Simulator — OpenEnv RL Environment

An OpenEnv-compliant RL sandbox for global traffic flow optimization on real road networks. The environment models any city's road graph as a directed graph G=(V,E) from OpenStreetMap, where an agent acts as a Global Traffic Orchestrator redistributing flow to prevent gridlock.

What makes it hard: partial observability via density heatmaps, non-stationarity from live street closures causing schema drift, and long-horizon causal reasoning where local rerouting decisions cascade into downstream gridlock minutes later.

Reward: Shannon entropy maximization (α=2.0) spreads vehicles across segments, penalized by mean wait time (β=0.5) and a hard deadlock termination — preventing degenerate routing solutions.

---

Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/17. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt