# Holiday Robotics's FlashSAC Paper Wins RSS 2026 Best Paper Award, a First for a Korean Team

- Source: Holiday Robotics
- Published: 2026-07-22T00:00:00.000Z
- RoboHot: https://robohot.news/en/items/x8ewq6t29v5dxjzh6w8z0aye0
- Original: https://en.sedaily.com/technology/2026/07/22/holiday-robotics-wins-best-paper-award-at-worlds-top

## Summary

A paper by Holiday Robotics researchers won the Best Paper Award at RSS 2026, a first for a Korean team. Its FlashSAC is a reinforcement learning algorithm that shortens humanoid robot walking training from several hours to a few minutes, overcoming the trade-off between learning speed and stability.

## Why it matters

The original text provides verifiable details such as FlashSAC's training speed and validation scope, letting readers understand how reinforcement learning algorithms can shorten the humanoid robot policy development cycle.