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Introduction to Reinforcement Learning

My mini-course on Reinforcement Learning (last updated 30th April 2025)

Latest mini-course: HCMUS, FIT (14-17 April 2025)

Past mini-courses: Aarhus (2020), HCMUS (2022, 2023)

Lecture slides:

1. Markov Decision processesLink opens in a new window
2. Model-free approachesLink opens in a new window
3. Function approximation methodsLink opens in a new window
4. Policy gradient methodsLink opens in a new window
5. Advanced policy gradient methodsLink opens in a new window
6. RLHFLink opens in a new window
7. BanditsLink opens in a new window
8. Online learning problemsLink opens in a new window
9. (Optional) Multi-agent learning in the era of LLMsLink opens in a new window

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