Deep reinforcement learning

Learning goals

• Motivate function approximation in reinforcement learning.
• Explain the core idea of deep Q-learning.
• Recognize replay and target-network techniques.

Materials

Slides, code, examples, and references will be added after class.

Lecture notes

An architecture overview, training loop, and stability checklist will be added here.