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
Physical AI runtime for embodied agents — governed action, verified experience, physical memory, and skill evolution.
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
An agent-first mobile runtime built on OpenClaw: control apps, learn reusable skills, and connect phones.
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
Trails in the Sky 2nd Chapter Combat Trainer 2026 Damage EXP Brave Mods for PC
Trails 2nd Chapter Combat and Progression Mod Toolkit for PC 2026
Agent Skill Induction: "Inducing Programmatic Skills for Agentic Tasks"
[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.
Evolving what multimodal agents see and how they read it. Framework, ten reusable task skills, and paper resources.
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]
Flow-driven recursive skill evolution for agentic LLM orchestration.
SkillNet-Gym: A Dynamic Benchmark for Compositional Skill Learning
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