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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
krapjost / nvim-lua-guide-kr
Forked from nanotee/nvim-lua-guide네오빔에서의 루아(Lua) 사용 가이드
Python training for business analysts and traders
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
The text for those who want to study reinforcement learning in Korean
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.