SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
Ranking
Overall
77
Content
95
Popularity
34
Observed public metrics from 1 member.
Merged summary
TL;DR - SkillForge is a reinforcement-learning framework that lets LLM agents accumulate reusable skills while continuously verifying and refining them through environment interaction. It improves over append-only skill banks by maintaining skill quality as agents learn across episodes.
- Makes skill invocation explicit so RL jointly optimizes environment actions and decisions about when to use skills.
- Uses interaction evidence to verify and refine stored skills rather than assuming they remain effective.
- Supports multiple skill-induction pathways, enabling the skill bank to grow while controlling quality.
- Consistently outperforms SkillRL in experiments on ALFWorld, WebShop, and AppWorld.
Sources (1)
SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
Public signals
Semantic Scholar citations 0 · Semantic Scholar influential citations 0
TL;DR - SkillForge is a reinforcement-learning framework that lets LLM agents accumulate reusable skills while continuously verifying and refining them through environment interaction. It improves over append-only skill banks by maintaining skill quality as agents learn across episodes.
- Makes skill invocation explicit so RL jointly optimizes environment actions and decisions about when to use skills.
- Uses interaction evidence to verify and refine stored skills rather than assuming they remain effective.
- Supports multiple skill-induction pathways, enabling the skill bank to grow while controlling quality.
- Consistently outperforms SkillRL in experiments on ALFWorld, WebShop, and AppWorld.