Hugging Face 深度強化學習教程：Q-Learning 基礎入門（第一部分）
Original: An Introduction to Q-Learning Part 1
This classic tutorial from Hugging Face is the first part of its "Deep Reinforcement Learning Course," designed to give readers a solid…
本教程為 Hugging Face 深度強化學習課程的第一部分，深入淺出地介紹了 Q-Learning 的基本原理。內容涵蓋強化學習的核心要素（如 Agent、環境、獎勵）、馬可夫決策過程（MDP），以及如何利用 Bellman 方程式更新 Q-table。適合想要踏入強化學習與 RLHF 領域的開發者與研究人員。
This classic tutorial from Hugging Face is the first part of its "Deep Reinforcement Learning Course," designed to give readers a solid foundation in Q-Learning — an important cornerstone for understanding modern large language model alignment techniques such as RLHF.
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