Part 1—Foundations
1 What is reinforcement learning?
2 Modeling reinforcement learning problems: Markov decision processes
3 Predicting the best states and actions: Deep Q-networks
4 Learning to pick the best policy: Policy gradient methods
5 Tackling more complex problems with actor-critic methods
1. What is reinforcement learning?
DRL หรือ deep reinforcement learning เป็น subfield of Ml ซึ่งใช้ DL model eg neural network ,ใน RL (reinforcement learning )
image classification ใช้ ML model ในการ interpret and classify
fixed set adjustable parameters
p 4