SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
SKILLGRAPH introduces a graph-structured skill library for LLM agents, addressing limitations in existing libraries where skills are not ordered or structured for updates. It organizes skills into a graph with prerequisite, enhancement, and co-occurrence relations. This framework uses reinforcement learning to co-evolve the skill graph with the agent's policy, leading to state-of-the-art performance on tasks like ALFWorld.