ZJU-REAL/SkillZero

Summary

SkillZero (SKILL0) is the official codebase for the paper 'SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization.' It introduces a novel in-context reinforcement learning framework that enables agents to internalize skills through curriculum learning, leveraging the OpenClaw platform for robotic manipulation tasks.

Key features

• In-context reinforcement learning for skill internalization
• Curriculum learning strategy for progressive skill acquisition
• Integration with OpenClaw robotic platform
• Agentic learning without explicit reward engineering
• Open-source Python implementation with reproducible experiments

Use cases

• Robotic skill acquisition in manipulation tasks
• Research on in-context reinforcement learning
• Curriculum learning for complex agent behaviors
• Benchmarking agentic RL algorithms on OpenClaw

Topics