GAIA is an OpenEnv-compatible geospatial reasoning environment where an AI agent infers hidden real-world locations using multi-step tool calls (terrain, weather, sun angle, language, architecture, street/aerial cues) under strict action budgets. It includes an oversight agent that flags contradictions and overconfidence, plus a GRPO training pipeline (TRL + OpenEnv) to improve policy rewards over time, with a live Cesium interface for real-time demo and evaluation.
More from OpenEnv Hackathon SF
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…
RL environment for autonomous biologist agents. Simulate an entire biological worldstate based on scientifically-accurate single-cell standards. Naive agents…
ShopRLVE-GYM HF Blog https://huggingface.co/blog/thebajajra/shop-rlve-gym
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…
Voyager-VRAM is a long-horizon workplace simulator where LLM agents must navigate a realistic office environment ( emails, Slack, shared drive, spreadsheets…
An email marketing simulation for an e-commerce brand to increase sales
youtube.com/…