OpenClaw-RL: Train any agent simply by talking
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
[ICLR 2023] Choreographer: a world-model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able to efficiently coordinate and adapt the skills to solve downstream tasks.
[ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and use planning (Dyna-MPC) during fine-tuning.
Agent Skill Induction: "Inducing Programmatic Skills for Agentic Tasks"
PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Incremental Skills for a Changing World"
Winning code for the Object Manipulation MyoChallenge Track at NeurIPS 2023
Official implementation of SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation [IEEE TCDS]
[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022
A self-extending AI agent built with Google ADK & Gemini 2.0 Flash that dynamically creates, stores, and reuses its own skills at runtime — growing smarter with every task.
🔥 Teachable AI desktop assistant with agentic skill execution — teach any workflow via chat, auto-route & run tools (shell, file, HTTP). Built with Tauri 2, Rust & React. Supports OpenAI, DeepSeek, Ollama & any LLM API.
Android app for skill learning and management built with Java & Firebase.
Self-evolving skill engine for OpenClaw agents. Observes tool usage, crystallizes patterns into auditable SKILL.md files through a dual-model LLM pipeline, and continuously validates with 23 adversarial mutations. Research-grounded. Human-approved. Nothing auto-deploys.
Absorption-Based AI Learning Engine for Claude. MCP Server plugin for Claude Code & Claude Desktop. 9-layer lockdown — Claude exclusive. Built by VARIE Industries.
A 3-Day Skill Challenge web app to learn a new skill in just 15 minutes a day.
Train and customize OpenClaw agents using reinforcement learning with simple language feedback and fully asynchronous optimization.
Build an AI agent that expands its skills by writing, storing, and reusing code with Google’s Agent Development Kit.
Add a description, image, and links to the skill-learning topic page so that developers can more easily learn about it.
To associate your repository with the skill-learning topic, visit your repo's landing page and select "manage topics."