Tag
BrowserBC is an open-source system that converts recorded human browser interactions into reusable agent skills, enabling skills to be used in Claude Desktop and Claude Code with just one recording.
OPID is a framework that extracts dense token-level supervision from completed on-policy trajectories for reinforcement learning of language agents, using hierarchical skills (episode-level and step-level) to improve sample efficiency and robustness.
OPID proposes an on-policy skill distillation framework that extracts dense hindsight supervision from completed trajectories, combining outcome-based RL with token-level self-distillation to improve language agent training efficiency and performance on multi-turn tasks.
EmoDistill is an offline framework that distills emotional negotiation skills into language model agents using Implicit Q-Learning for emotion selection and LoRA-based supervised fine-tuning and judge policy optimization for emotion expression, achieving higher utility in adversarial negotiations.
PANDO is a web agent framework that improves efficiency through online skill distillation, reducing token usage by 58-61% while outperforming baselines on VisualWebArena tasks.
A single CLAUDE.md file became GitHub's top-trending repo with 44k weekly stars by distilling Andrej Karpathy's LLM coding advice into four principles.