LibGuides: DDS-8150: Module 4

Lesson 7 Required Resources

Chapter 11: Deep learning for text
Chollet, F. (2022). Chapter 11: Deep learning for text (2nd ed.). Manning Publications.
This chapter directly addresses multi-input models and how to work with complex datasets that include both numerical and categorical features.

Chapter 6: Deep Q-Learning
Ravichandiran, S. (2022). Chapter 6: Deep Q-learning. In Deep reinforcement learning with Python: With PyTorch, TensorFlow, and OpenAI Gym. Packt Publishing.
Chapter 7: Policy Gradient Methods
Ravichandiran, S. (2022). Chapter 7: Policy gradient methods. In Deep reinforcement learning with Python: With PyTorch, TensorFlow, and OpenAI Gym. Packt Publishing.
These chapters provide practical implementations of reinforcement learning algorithms, focusing on DQNs and policy gradient methods, which are crucial for Week 8.

Understanding the Reinforcement Learning
Xu, N. (2019, April). Understanding the reinforcement learning. In Journal of Physics: Conference Series (Vol. 1207, No. 1, p. 012014). IOP Publishing.
This article provides a good discussion of reinforcement learning.