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Posts tagged deep learning.

August 7, 2025 Taewoon Kim

From REINFORCE to PPO: The Complete On-Policy RL Journey

Understanding the evolution from basic policy gradients to modern LLM fine-tuning algorithms

Motivation: Why On Policy RL Matters for Modern AI If you've been following the latest developments in large language models (LLMs), you've probably heard of GRPO (Group Relative P...

From REINFORCE to PPO: The Complete On-Policy RL Journey
reinforcement-learning policy-gradients ppo grpo
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May 28, 2025 Taewoon Kim

From VAEs to Diffusion Models: A Step-by-Step Journey

Understanding the evolution of generative models through practical implementations

Motivation: Why Do We Need Generative Models? In order to generate data, we need to sample from a distribution. But here, we are not talking about simply sampling from the training...

From VAEs to Diffusion Models: A Step-by-Step Journey
vae diffusion-models generative-ai deep-learning
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August 21, 2024 Taewoon Kim

Training a GCN-based edge classifier

Exploring the challenges and strategies for effective edge classification with graph neural networks (GNNs)

In this post, I'll walk you through the process of training a Graph Convolutional Network (GCN) for edge classification, a common task in graph based machine learning applications....

Training a GCN-based edge classifier
knowledge graph machine learning deep learning gnn
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December 21, 2023 Taewoon Kim

A machine with human-like memory systems

Can machines think like us?

The project is the core of my PhD work. It was heavily inspired by the cognitive science theories, such as the ones from . It's about developing agents equipped with human like ext...

A machine with human-like memory systems
reinforcement learning AI human memory knowledge graph
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