RLLMNav: boosting object goal navigation through seamless integration of historical experience with large language model
This work proposes RLLMNav, a method that integrates historical experience of RL with commonsense reasoning of LLM through a confidence-gated routing mechanism, and utilizes commonsense knowledge extracted from an LLM to suggest frontiers.