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Achievements

Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: Starstruck

Achievements

Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: Starstruck

Highlights

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breez3young/README.md

Biography

🔭 I’m currently a Ph.D. student at Tsinghua University, fortunate to work closely with Dr. Chenjia Bai and Prof. Chongjie Zhang. I received my Bachelor’s degree in Automation at Tsinghua University, advised by Prof. Li Li. See my homepage for full publication list.

Research Interests

✨ I aim to develop a general world model that can empower agents with intelligent, generalizable and interpretable decision-makinig capability. To this end, I mainly focus on:

  • Reinforcement Learning and its applications in the real world
  • Cooperative Multi-Agent Reinforcement Learning
  • Generative Modeling in RL, especially Transformer and Diffusion Model
  • Foundation models for reasoning and decision-making (i.e. Embodied AI)
  • Building Efficient World Models

😄 I'm open to any kind of collaborations.

😊 Feel free to contact me with email ([email protected]) or wechat (YangZhang9470).

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  1. MARIE MARIE Public

    Official Implementation of "Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models" (accepted at Transaction on Machine Learning Research, TMLR)

    Python 11 3

  2. TeleHuman/Align-Then-Steer TeleHuman/Align-Then-Steer Public

    Official Implementation of "Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance".

    Python 63 2

  3. DIMA DIMA Public

    [NIPS'25] Official Implementation of "Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective" in PyTorch.

    Python 8 1

  4. TACO TACO Public

    Official Implementation of "Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach"

    Python 16 4