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class Researcher:
name = "luoolu"
alias = "LooLo — Algorithm Architect"
location = "🌏 Earth (for now)"
focus = ["AGI", "Computer Vision", "Reinforcement Learning", "Time-Series"]
philosophy = "The boundary between intelligence and code is dissolving — fast."
goal = "Build systems that think, perceive, and autonomously decide."
currently = "Scaling foundation models for real-world sequential decision-making"
open_to = ["research collaborations", "frontier AI discussions", "interesting problems"]
def __repr__(self):
return "A mind obsessed with making machines think."
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┌─────────────────────────────────────────────────────────────────────────┐
│ 🚀 ACTIVE RESEARCH │
│ │
│ ▸ RL-enhanced time-series forecasting for complex sequential data │
│ ▸ Foundation model adaptation for geological computer vision │
│ ▸ Multi-agent LLM systems for autonomous scientific reasoning │
│ ▸ Sparse reward RL in partially-observable real-world environments │
└─────────────────────────────────────────────────────────────────────────┘
Live demos of AGI concepts and cutting-edge algorithms. Click → explore → fork → ⭐
| Demo | Description | Stack | |
|---|---|---|---|
| 🖥️ | Machine Vision | DINOv2 + Mask2Former thin-section segmentation | PyTorch CUDA MMSeg |
| 📈 | Time-Series | KL-8 sequence prediction · AutoGluon v1.2 + RL v44 | AutoGluon Ray XGBoost |
| 🎮 | Reinforcement Learning | PPO / QR-DQN / Meta-Ensemble sequential agents | SB3 Gymnasium RLlib |
| 🌌 | AGI Playground | Multi-agent LLM + Vision LLM co-reasoning system | LangChain GPT-4V FAISS |
"From a spark of weights to a mind that reasons — witnessing the emergence, frame by frame."
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"01 Digital World" — Exploring, sharing, and co-building the future AI ecosystem.
If my work sparks an idea or saves you time, a ⭐ star is the best thanks.
If my work sparks an idea or saves you time, a ⭐ star is the best thanks.