Chao Ma
March 5, 2026
Course notes on reinforcement learning, starting with David Silver’s foundational RL lectures.
David Silver RL Course - Lecture 1: Introduction to Reinforcement Learning What makes RL different from supervised learning, the agent-environment loop, Markov state, policy/value/model, and the core RL tradeoffs.
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title: "Reinforcement Learning"
author: "Chao Ma"
date: "2026-03-05"
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Course notes on reinforcement learning, starting with David Silver's foundational RL lectures.
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**[David Silver RL Course - Lecture 1: Introduction to Reinforcement Learning](david-silver-lecture-1-introduction-to-reinforcement-learning.qmd)**
What makes RL different from supervised learning, the agent-environment loop, Markov state, policy/value/model, and the core RL tradeoffs.
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