medium for transferring foundational skills to new tasks [372]. SayCan [179] decomposes task
instructions presented in prompts using LLMs into corresponding skill commands, but in partially
observable environments, limited prior skills often do not achieve satisfactory performance [101].
To address this, Voyager [190] introduces the skill library component to continuously collect novel
self-verified skills, which allows for the agent’s lifelong learning capabilities.
TheRiseandPotentialofLargeLanguageModel BasedAgents