Contact person: Business Client

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Location: Houston, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m running a small-scale research project and need a straightforward virtual environment where an AI agent can learn by interacting with objects and practising decision-making tasks. Visual fidelity is not the priority—basic shapes, placeholder textures and functional physics are perfectly fine as long as the scene is stable and extensible.

Platform is open; if you’re most comfortable in Unity, Unreal, or a lightweight custom framework, I’m happy to follow your lead. What matters is that the final scene lets me:

• spawn a variety of objects the agent can recognise, pick up, push or drop
• script simple cause-and-effect situations so the agent chooses between options and receives feedback

Please provide the working project files, concise setup instructions and a short note on how to add new objects or scenarios. In return for your time you’ll be credited as a co-contributor in the resulting paper and any public datasets derived from the experiment.

Ideal for students or hobbyists who’d like a citation under their belt. If it sounds interesting, let me know what engine you’d use and how quickly you could deliver a first proof-of-concept scene.

We invite you to join Project Hieros at the ground floor, on a mission to elevate science and our understanding of existence! You WILL be part of history." (client-provided description)