Skip to Main Content

Zero Shot Cancer

OpenEnv Hackathon SF

RL environment for autonomous biologist agents. Simulate an entire biological worldstate based on scientifically-accurate single-cell standards. Naive agents try to solve a frontier problem, such as identifying key pathways and markers for cancer growth, and have access to 40+ tool calls for fully implemented bioinformatics procedures. Agents probe and modify the world state and try to recover the generated "truth" of the given world using intermediate experimental results to guide future thinking. Problems range in difficulty and complexity, requiring more and more complex thought and workflows. Rewards are based on feasible flow of experiments and the accuracy of the final study conclusion, based on how close the recovered world state is to the hidden "true" world state.

Team

mrchangmhtruong1031EV3KevinDev

Placement

2nd Place

More from OpenEnv Hackathon SF

Noclue

Kube SRE Gym is a self-improving RL environment where a small language model (Qwen3-1.7B) learns to diagnose and fix real Kubernetes production incidents…

Noclue project preview

Lambda

ShopRLVE-GYM HF Blog https://huggingface.co/blog/thebajajra/shop-rlve-gym

Lambda project preview

Play-gent

Our agent uses OpenEnv to build a curriculum of video game environments that train a TinyLlama 1.1B agent via GRPO reinforcement learning. We implement three…

Play-gent project preview

Gaia

GAIA is an OpenEnv-compatible geospatial reasoning environment where an AI agent infers hidden real-world locations using multi-step tool calls (terrain…

drive.google.com/…

Deepmind Ace

Voyager-VRAM is a long-horizon workplace simulator where LLM agents must navigate a realistic office environment ( emails, Slack, shared drive, spreadsheets…

Deepmind Ace project preview

crtd labs inc

An email marketing simulation for an e-commerce brand to increase sales

youtube.com/…