---
title: "Qwen-AgentWorld The World Model for RL Environments"
url: https://daily.dev/posts/qwen-agentworld-the-world-model-for-rl-environments-iknvp85sn
source_url: https://www.youtube.com/watch?v=VzmMQWRhlBw
type: video:youtube
source: "Sam Witteveen"
published: 2026-06-25T13:23:52.897Z
updated: 2026-06-25T15:10:50.232Z
tags: ["ai-agents", "reinforcement-learning"]
reading_time: 16
upvotes: 1
comments: 0
language: en
---

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# Qwen-AgentWorld The World Model for RL Environments

**[Sam Witteveen](https://daily.dev/sources/samwitteveenai)** · 16 min read · 1 upvotes · 0 comments

## Summary

In this video, I look at Qwen-AgentWorld, which is a world model built to simulate RL environments for agents to get better at training.

📑 Paper: https://arxiv.org/abs/2606.24597
📖 Blog: https://qwen.ai/blog?id=qwen-agentworld
💻 GitHub: https://github.com/QwenLM/Qwen-AgentWorld
🤗 HuggingFace: https://huggingface.co/collections/Qwen/qwen-agentworld

Twitter: https://x.com/Sam_Witteveen 

🕵️ Interested in building LLM Agents? Fill out the form below
Building LLM Agents Form: https://drp.li/dIMes

👨‍💻Github:
https://github.com/samwit/llm-tutorials

⏱️Time Stamps:
00:00 Intro
03:01 Qwen-AgentWorld Blog
03:14 Paper
03:23 Benchmarks
06:15 Before and After Language World Model RL Training
07:37 Qwen-AgentWorld Pipeline
10:58 Demo

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=VzmMQWRhlBw>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

[View this post on daily.dev](https://daily.dev/posts/qwen-agentworld-the-world-model-for-rl-environments-iknvp85sn)