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# course_notes/ – Topic Notes
Markdown notes that mirror lecture content and extend the slides with proofs, derivations, and reading pointers.
## Files
- `intro-to-rl.md`, `intro-to-phase2.md` – onboarding and course flow.
- `bandits.md` – multi-armed bandits and regret basics.
- `exploration.md` – exploration strategies and intrinsic motivation.
- `advanced.md` – advanced RL miscellany.
- `hierarchical.md` – options, temporally extended actions.
- `imitation.md` – behavioral cloning, IRL.
- `inverse.md` – inverse reinforcement learning.
- `meta.md` – meta-learning and fast adaptation.
## How to read
Start with `intro-to-rl.md`, then follow the lecture order: bandits → exploration → value-based/policy topics → hierarchical/imitation/meta. Each note links to references; check the slide number cues when cross-referencing.

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