Skip to Main Content

Cluedo

OpenEnv Hackathon SF

Cluedo is a multi-agent Clue murder mystery game built on OpenEnv 0.2.1. It lets players play Clue with AI agents in two modes: Human vs Agents (one human vs AI) and Agents vs Agents (all AI). The environment includes: Partial observability (each player sees only their cards) A check sheet for tracking deductions (Y / X / / / 1–3) Turn-based gameplay: roll & move, suggest, show card / no card, accuse REST API for the game UI and an LLM-ready observation format It targets multi-agent RL and agent training by giving structured feedback (win / lose / elimination) from gameplay, suitable for GRPO or similar methods.

Team

saurabhkhire

Placement

Participant

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

Zero Shot Cancer

RL environment for autonomous biologist agents. Simulate an entire biological worldstate based on scientifically-accurate single-cell standards. Naive agents…

Zero Shot Cancer 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