Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning
The results show that while larger models with an enabled thinking mode identify their positions more accurately, overall performance in coordinate matching remains limited for smaller models, and multi-step planning further reduces mean per-step response times, offering a practical trade-off between reasoning depth an...