OpenClaw-RL: Train any agent simply by talking
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
Let Skills Evolve Collectively with Agentic Evolver
[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
玄霖超脑 · 无量网络 v4 重构版— 66 模块6通道 AI 认知神经系统 · 装一次，你所有的 AI 工具从此共享一个永远不失忆的大脑。跨会话记忆 · 多 Agent 互通 · 自动代码审查 · 零配置
[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.
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.
Evolve AI agent skills through chat interactions that persist across devices and users with a collective learning framework.
Persistent absorption engine for Claude. Feed it code, docs, and failures — it builds a local skill graph any Claude session can query. Exposed as an MCP server.
Flow-driven recursive skill evolution for agentic LLM orchestration.
A 3-Day Skill Challenge web app to learn a new skill in just 15 minutes a day.
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