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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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pandengyao/README.md

Hi there 👋

I am currently a Research & Development Engineer in the Reinforcement Learning Group of the AI Computing Department at Baidu.
I received my M.S. degree in Instrument Science and Technology from Beihang University (BUAA), and my B.Eng. in Measurement, Control Technology and Instrumentation from Nanjing University of Science and Technology (NJUST).

With five years of industry experience, I have worked across areas including software development, ROS-based system integration, model quantization and deployment, and MLSys optimization.
My current research focuses on Agentic Reinforcement Learning (Agentic RL) — exploring how autonomous agents can leverage reinforcement learning to enhance large-scale intelligent systems.

Research Interests 🔭

My research primarily focuses on:

  • ML Systems: Topics related to SGLang, veRL, AI Infra, and High Performance Computing.
  • RL Sys for Agents: Topics related to Coding Agent & Pipeline and RLHF for Multi-Agent Systems.

Pinned Loading

  1. volcengine/verl volcengine/verl Public

    verl: Volcano Engine Reinforcement Learning for LLMs

    Python 17.7k 2.9k

  2. sgl-project/sglang sgl-project/sglang Public

    SGLang is a fast serving framework for large language models and vision language models.

    Python 21.8k 3.8k

  3. zhaochenyang20/Awesome-ML-SYS-Tutorial zhaochenyang20/Awesome-ML-SYS-Tutorial Public

    My learning notes for ML SYS.

    Python 4.7k 299

  4. THUDM/slime THUDM/slime Public

    slime is an LLM post-training framework for RL Scaling.

    Python 2.9k 352