RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents

Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou +6

Owing to recent advancements, Large Language Models (LLMs) can now be deployed as agents for increasingly complex decision-making applications in areas including robotics, gaming,…