Awesome World Models / arXiv

Training Agents Inside of Scalable World Models

作者：作者信息待提取 · 单位：Training Agents Inside of Scalable World Models, Equal contribution. Google DeepMind, San Francisco, USA. Website: danijar.com/dreamer4 · 来源：World Models for Embodied AI · 发布日期：2025 · 分类：6. World Models x Policy Learning

具身智能视觉语言动作/策略学习基于模型的强化学习
新标签打开 AlphaXiv新标签打开 Project
Training Agents Inside of Scalable World Models figure
AlphaXiv 中文概览（可滚动查看）