# Varaha

- **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:** [Atin Kumar Singh](https://cerebralvalley.ai/u/atin5551)
- **GitHub:** https://github.com/AtinChing/OpenEnv-PyTorch-Hackathon-2026
- **Website:** https://colab.research.google.com/drive/1pXg60BkNWpPwwfevgx6w6SqIuoD_jNND?usp=sharing
- **Demo video:** https://youtu.be/H6MM4QwJ0Rc
- **Hugging Face:** https://huggingface.co/spaces/openenv-community/VarahaWildFireDroneReliefTrainingSim
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/95

Varaha is a high-fidelity OpenEnv wildfire logistics benchmark for long-horizon agent training and evaluation. In this 3D environment, an autonomous drone must complete multi-step delivery missions while navigating dynamic fire hazards, dense obstacle fields, battery constraints, and mission-level tool interactions.  In interacts with responder agents on the ground to complete its mission with their help.
The project supports both continuous-control RL (PPO) and LLM-based planning (Unsloth), with reproducible metrics, reward tracking, and held-out generalization scenarios that expose both strengths and failure modes. Built for serious post-training research, Varaha turns safety-critical coordination into a measurable, scalable environment for next-generation agent capabilities.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/95. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt