I am a student in the School of Computer Science at Beijing University of Posts and Telecommunications.

I am interested in how agents learn to make decisions by interacting with their environment. I work with reinforcement learning and LLM-based agents, applying them to air combat simulations and game AI. I enjoy building realistic environments and agent systems using tools like Unreal Engine.

🔥 News

• 2025.12 📄 Scalable Pursuit–Evasion Game for Multi-Fixed-Wing UAV via Dynamic Target Assignment & Hierarchical RL, Drones.

• 2025.05 🏆 First Prize at the 18th National College Student Software Innovation Competition (CNY ¥15,000). Vision-driven game AI agent achieving complex strategies without privileged APIs.

• 2025.01 🔬 Research Intern at the Institute of Automation, Chinese Academy of Sciences (CASIA). Worked on imitation learning (BC, DAgger, AIRL) for multi-agent adversarial scenarios.

• 2025.01 📄 Hierarchical Online Air Combat Maneuver Decision Making and Control via Surrogate-Assisted Differential Evolution, Drones.

• 2024.11 🏅 7th Place at the ZhiYi Cup Helicopter Air–Ground Red-Blue Confrontation Challenge. Multi-agent collaborative decision-making in complex engineering environments.

• 2024.09 🏆 Third Prize at the LongZhi Cup Intelligent Air Combat Competition (CNY ¥10,000). Behavior-tree and strategy-matching-based expert system for BVR air combat.

• 2024.07 🏆 Champion of the 2nd Hongdu Cup Intelligent Air Combat Competition (CNY ¥50,000). Multi-level target allocation with reinforcement learning for 6v6 WVR air combat.

• 2023.11 🏆 Third Prize at the 1st Hongdu Cup Intelligent Air Combat Competition (CNY ¥30,000). Well-tunned behavior-tree.

💻 Technical Stack

• Languages: Python, Modern C++, Unreal Engine C++
• ML Frameworks: PyTorch
• Systems: Arch Linux, Windows

📖 Educations

• 2022.09 - 2026.06 Beijing University of Posts and Telecommunications, B.S. in Computer Science