mlsanityData to 7 Oct 2026

DreamGarden: A Designer Assistant for Growing Games from a Single Prompt

arXiv 2410.01791 ↗First posted 2 Oct 2024cs.HC cs.AI cs.CLcited by 10

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Abstract (arXiv)

Coding assistants are increasingly leveraged in game design, both generating code and making high-level plans. To what degree can these tools align with developer workflows, and what new modes of human-computer interaction can emerge from their use? We present DreamGarden, an AI system capable of assisting with the development of diverse game environments in Unreal Engine. At the core of our method is an LLM-driven planner, capable of breaking down a single, high-level prompt -- a dream, memory, or imagined scenario provided by a human user -- into a hierarchical action plan, which is then distributed across specialized submodules facilitating concrete implementation. This system is presented to the user as a garden of plans and actions, both growing independently and responding to user intervention via seed prompts, pruning, and feedback. Through a user study, we explore design implications of this system, charting courses for future work in semi-autonomous assistants and open-ended simulation design.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 44 of its 134 references that are in the map. First posted on arXiv 2 Oct 2024.

Builds on

44 of 134 references.

References · 44

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32 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 5.

10 papers.