2.22 GB
13,063 files
Updated 4 months ago
Ctrl+K
| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| 1.pdf | 5.32 MB xet | b03fe12a | |
| 10.pdf | 6.62 MB xet | 0ffeec8e | |
| 11.pdf | 4.24 MB xet | 506c3810 | |
| 12.pdf | 8.32 MB xet | 159153f4 | |
| 13.pdf | 1.36 MB xet | 43174bd0 | |
| 14.pdf | 1.58 MB xet | 030e4f81 | |
| 15.pdf | 1.71 MB xet | 751741b7 | |
| 16.pdf | 3.26 MB xet | 9faf02e4 | |
| 17.pdf | 3.26 MB xet | 9faf02e4 | |
| 18.pdf | 1.38 MB xet | c4ff2238 | |
| 19.pdf | 5.67 MB xet | b61d1382 | |
| 2.pdf | 6.07 MB xet | ed45bce8 | |
| 3.pdf | 3.81 MB xet | 93df8a15 | |
| 4.pdf | 1.41 MB xet | b2346fc5 | |
| 5.pdf | 2.28 MB xet | 730eeb56 | |
| 6.pdf | 1.65 MB xet | 3d791ec7 | |
| 7.pdf | 3.01 MB xet | 369acd15 | |
| 8.pdf | 6.02 MB xet | 0b0cb17a | |
| 9.pdf | 2.33 MB xet | 16b32587 | |
| README.md | 677 Bytes xet | 3b165c39 |
Slides/ – Lecture Decks
PDF slide decks for lectures 1–19. The numbering matches the course schedule and references in notes/homeworks.
Quick index
- Foundations & MDPs
- Dynamic Programming
- Monte Carlo Methods
- Temporal Difference Learning
- Function Approximation
- Deep Q-Networks
- Policy Gradient Methods
- Actor–Critic Methods
- Advanced Policy Optimization
- Exploration Strategies
- Model-Based RL
- Multi-Agent RL
- Hierarchical RL
- Meta-Learning
- Offline RL
- Safe RL
- Robust RL
- Future Directions
- Special Topics / Review
Open the matching PDF when working on the corresponding homework or reading course_notes/.
- Total size
- 2.22 GB
- Files
- 13,063
- Last updated
- Jun 22
- Pre-warmed CDN
- US EU US EU