Joowan Chae

I am an undergraduate student at Sungkyunkwan University interested in language models, retrieval-augmented generation, preference optimization,autonomous data agents. I use this blog to organize paper reviews, math notes, and implementation-oriented study logs.

Research Interests

  • Retrieval-augmented generation and semantic search
  • Reasoning agents for structured data analysis
  • Embedding models and contrastive learning
  • LLM alignment and preference optimization
  • Reinforcement Learning
  • Multimodal reasoning for planning and control
  • Vision-Language-Action (VLA) models and embodied AI

Currently Studying About

  • Foundation model architectures and pre-training
  • LLM reasoning, ReAct-style workflows, and verification
  • Machine learning fundamentals and mathematical intuition
  • Course notes from operating systems, networks, and ML

Recent Posts

Proximal Policy Optimization Algorithms 리뷰

8 minute read

Background Neural networks으로 강화학습을 하는 방법으로는 Q-learning과 Vanilla Policy Gradient가 있다. Q-Learning Q-learning은 현재 state s에서 action a를 하면 미래에 총 얼마의 보상을 받을까를 예측하...