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PARL

前百度强化学习方向负责人,在文心一言模型组负责RLHF技术研发。

团队除了支持公司内外的业务之外,还深耕前沿技术,开展的工作线条包括但不限于:

  • 高性能RL并行框架PARL的研发(https://github.com/PaddlePaddle/PARL, 3.2k star)
  • 参与业内的国际RL赛事(我们团队已经连续三年在NeurIPS RL 赛事中拿下冠军名次了)
  • 学术论文的投稿
  • 机器人控制(自动驾驶&无人机、四足机械狗控制)

公司内业务支持包括超大规模LLM对齐、信息流推荐、搜索引擎、百度地图、广告排序、百度智能云(能源调度、信号灯控制)等。

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  1. PaddlePaddle/PARL PaddlePaddle/PARL Public

    A high-performance distributed training framework for Reinforcement Learning

    Python 3.3k 818

  2. tensorgo tensorgo Public

    Using the tensorgo API for TensorFlow Async Model Parallel

    Python 36 7