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ANA670

Module 3 Required Learning Resources

Engineering Optimization
Xin-She, Y. (2010). Engineering Optimization: An Introduction with Metaheuristic Applications. John Wiley & Sons, Inc.
Print ISBN:9780470582466 |Online ISBN:9780470640425 |DOI:10.1002/9780470640425

Lesson 6: Chapter 10 Random Walk and Markov Chain
Lesson 8: Chapter 18 Multiobjective Optimization

What is Reinforcement Learning?
Lapan, M. (2024). Deep reinforcement learning hands-on : A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF. Packt Publishing.

Lesson 7: Read Chapter 1 What is Reinforcement Learning?
Optional, Read Chapter 13 The TextWorld Environment
This chapter is about deep learning with NLP & LLMs.

Module 3 Optional Resources

Random walk and Markov chain

Reinforcement Learning

Multi-Objective Optimization

Last Updated: Jul 29, 2025 7:19 AM
URL: https://resources.nu.edu/c.php?g=1365570
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