1 Introduction to Reinforcement Learning
2 Mathematical and Algorithmic Understanding of Reinforcement Learning
3 Coding the Environment and MDP Solution
4 Temporal Difference Learning, SARSA, and Q-Learning

1 Introduction to Reinforcement Learning(RL)

ศึกษา basic building blocks of Reinforcement Learning , like ->state , actor , environment , reward
ความแตกต่างระหว่าง – On-Policy vs Off-Policy methods

1.1 What is AI and How dose Reinforcement learning relate to it ?
AI เป็นการศึกษา design – Rational agent -ให้ act “Humanly “
RL เป้น most advanced , high level of intelligence and rational behavior

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2 Mathematical and Algorithmic Understanding of Reinforcement Learning


3 Coding the Environment and MDP Solution

4 Temporal Difference Learning, SARSA, and Q-Learning