Mastering Board Games by External and Internal Planning with Language
Models
Mastering Board Games by External and Internal Planning with Language
Models
While large language models perform well on a range of complex tasks (e.g., text generation, question answering, summarization), robust multi-step planning and reasoning remains a considerable challenge for them. In this paper we show that search-based planning can significantly improve LLMs' playing strength across several board games (Chess, Fischer Random …