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cloud-qu/README.md

Hi there 👋

I'm Yun Qu 🎓, a Ph.D. student in the Department of Automation at Tsinghua University 🏛️.

My research primarily focuses on the exciting intersection of Reinforcement Learning (RL) 🤖 and Large Language Models (LLMs) 🗣️! I'm passionate about exploring novel techniques ✨ and applications 💡 in these rapidly evolving fields.

I've had the pleasure of presenting my work at several top-tier conferences, including ICML 🏆, NeurIPS 🌟, and AAAI 🎉.

You can find more details about my research and publications on my Google Scholar profile 📄.

I'm always open to discussing research ideas 🤔 and potential collaborations 🤝. Feel free to connect! 😊

Email: qy22@mails.tsinghua.edu.cn 📧

Website: https://cloud-qu.github.io

The following are some of the projects I've been actively involved in.

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  1. tencent-ailab/hokoff tencent-ailab/hokoff Public

    Python 59 6

  2. thu-rllab/CFCQL thu-rllab/CFCQL Public

    Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.

    Python 40 8

  3. thu-rllab/MPTS thu-rllab/MPTS Public

    Model Predictive Task Sampling

    Python 85 26

  4. thu-rllab/LaRe thu-rllab/LaRe Public

    [AAAI-25] Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.

    Python 29 4

  5. thu-rllab/PDTS thu-rllab/PDTS Public

    [ICML 2025] Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments

    Python 63 22

  6. thu-rllab/MoPPS thu-rllab/MoPPS Public

    [KDD 2026] Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

    Python 74 24