⚛️量子位•Freshcollected in 2h
SmoothRL Keeps Robots Learning While Models Think
💡机器人训练不必再等模型：SmoothRL 直面在线强化学习的异步瓶颈。
⚡ 30-Second TL;DR
What Changed
Astribot 基座模型团队发布 SmoothRL
Why It Matters
异步在线强化学习有望减少机器人等待模型推理造成的空转，提高真实环境数据采集和策略更新的连续性。若能稳定处理训练与控制流程的并发，SmoothRL 可能降低具身智能实验的系统延迟。
What To Do Next
获取 SmoothRL 的代码或技术文档，先在模拟机器人环境中测量异步推理下的控制延迟、样本吞吐量与策略更新频率。
Who should care:Researchers & Academics
Key Points
- •Astribot 基座模型团队发布 SmoothRL
- •SmoothRL 支持可异步执行的在线强化学习流程
- •框架针对机器人交互与大模型异步推理之间的速度不匹配问题
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