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LouissMa/README.md

Hi, I'm Mabingnan πŸ‘¨β€πŸ’»


I am a Computer Science undergraduate passionate about Artificial Intelligence, Large Language Models, and Autonomous Systems.


My research interest lies in building intelligent systems that can reason, learn, remember, and interact with the world.


Currently exploring the intersection of LLM Agents, Reinforcement Learning, and Embodied AI.



πŸ”­ Research Direction

I am interested in developing autonomous intelligent systems by combining:

Large Language Models + Learning Algorithms + Robotics ↓ Embodied Intelligence

My research journey can be summarized as:

$$\text{Interest} = \int_{\text{Now}}^{\text{Feture}} (\text{AI} + \text{Robotics}) \cdot dt$$

My current exploration focuses on:

🧠 Large Language Model Agents

  • Long-term memory systems
  • Retrieval-Augmented Generation (RAG)
  • Tool use and function calling
  • Planning and reasoning
  • Multi-agent collaboration

πŸ€– Embodied Intelligence

  • Vision-language-action models
  • Robot navigation
  • Simulation environments
  • Reinforcement learning

βš™οΈ Autonomous Systems

  • Intelligent operating systems
  • Human-AI interaction
  • Reliable AI assistants
  • Agent architectures

My long-term goal is to create AI systems that move beyond passive question answering and become autonomous collaborators capable of understanding and acting in the real world.


πŸ› οΈ Technical Arsenal

🧠 AI Systems πŸ€– Robotics & Learning βš™οΈ Engineering

πŸ“š Currently Learning

Deep Learning & AI

  • Stanford CS229 β€” Machine Learning
  • Stanford CS230 β€” Deep Learning
  • Stanford CS336 β€” Language Modeling
  • Stanford CS224R β€” Deep Reinforcement Learning

Computer Systems

  • Operating Systems
  • Computer Networks
  • Distributed Systems

Research Topics

  • Large Language Model Agents
  • Reinforcement Learning
  • Robotics Simulation
  • Autonomous Systems

πŸ† Competitive Programming

I enjoy algorithmic problem solving and continuously improving my programming skills.

Platforms:

  • Codeforces
  • AtCoder
  • Nowcoder

Core Topics:

  • Graph Algorithms
  • Dynamic Programming
  • Data Structures
  • Number Theory
  • Optimization Techniques

Language:

  • C++17

πŸ“Š Coding Activity

I continuously improve my skills through:

  • Algorithmic problem solving
  • AI system development
  • Open-source projects
  • Research exploration

🌱 Beyond Code

"The best way to predict the future is to invent it."

I believe the next generation of intelligence will emerge from the combination of:

Reasoning + Learning + Interaction + Embodiment

I am continuously exploring how to transform ideas from AI research into practical intelligent systems.


⭐ Thanks for visiting my profile!

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