Timetable
| Title | Type | Location | Serial | Start | End | All Day | |
|---|---|---|---|---|---|---|---|
| MDPs I: Introduction & Heuristic Search | Lecture | Günter-Hotz-Hörsaal | 09.12.24 | 09.12.24 | No | ||
| Office Hour | Office Hour | E1 1, 3.06 | 4 | 10.12.24 | 10.12.24 | No | |
| MDPs I: Introduction & Heuristic Search | Lecture | Günter-Hotz-Hörsaal | 12.12.24 | 12.12.24 | No | ||
| MDPs II: Probabilistic Planning & PDBs | Lecture | Günter-Hotz-Hörsaal | 16.12.24 | 16.12.24 | No | ||
| Office Hour | Office Hour | E1 1, 3.06 | 4 | 17.12.24 | 17.12.24 | No | |
| No tutorials | Tutorials | 23.12.24 | N/A | Yes | |||
| Project 3: Supervised Learning | Programming Project | 06.01.25 | 20.01.25 | No | |||
| Office Hour | Office Hour | E1 1, 3.06 | 5 | 07.01.25 | 07.01.25 | No | |
| MDPs III: Reinforcement Learning | Lecture | Günter-Hotz-Hörsaal | 09.01.25 | 09.01.25 | No | ||
| MDPs III: Reinforcement Learning & Games I: Search | Lecture | Günter-Hotz-Hörsaal | 13.01.25 | 13.01.25 | No | ||
| Office Hour | Office Hour | E1 1, 3.06 | 5 | 14.01.25 | 14.01.25 | No | |
| Games I: Search | Lecture | Günter-Hotz-Hörsaal | 16.01.25 | 16.01.25 | No | ||
| Games II: Learning | Lecture | Günter-Hotz-Hörsaal | 20.01.25 | 20.01.25 | No | ||
| Project 4: Q-Learning | Programming Project | 20.01.25 | 03.02.25 | No | |||
| Office Hour | Office Hour | E1 1, 3.06 | 5 | 21.01.25 | 21.01.25 | No | |
| Trusted AI: Action Policies | Lecture | Günter-Hotz-Hörsaal | 23.01.25 | 23.01.25 | No | ||
| Trusted AI: Action Policies | Lecture | E1 3, Lecture Hall 002 | 27.01.25 | 27.01.25 | No | ||
| Office Hour | Office Hour | E1 1, 3.06 | 5 | 28.01.25 | 28.01.25 | No | |
| Office Hour | Office Hour | E1 1, 3.06 | 5 | 04.02.25 | 04.02.25 | No | |
| Main Exam | Exam | Günter-Hotz Hörsaal | 25.02.25 | N/A | Yes | ||
| Re-Exam | Exam | Günter-Hotz Hörsaal | 18.03.25 | N/A | Yes |