A Survey on Large Language Model-Based Game Agents

Understand

Game environments provide rich, controllable settings that stimulate many aspects of real-world complexity.

• As such, game agents offer a valuable testbed for exploring capabilities relevant to Artificial General Intelligence.
• Recently, the emergence of Large Language Models (LLMs) provides new opportunities to endow these agents with generalizable reasoning, memory, and adaptability in complex game environments.
• This survey offers an up-to-date review of LLM-based game agents (LLMGAs) through a unified reference architecture.