Timetable
| Title | Type | Location | Serial | Start | End | All Day | |
|---|---|---|---|---|---|---|---|
| Trusted AI: Action Policies | Lecture | E1 3, Lecture Hall 002 | 27.01.25 | 27.01.25 | No | ||
| MDPs III: Reinforcement Learning | Lecture | Günter-Hotz-Hörsaal | 09.01.25 | 09.01.25 | No | ||
| Search I: Blind Search & Search II: Heuristic Search | Lecture | E1 3, Lecture Hall 002 | 28.10.24 | 28.10.24 | No | ||
| Office Hour | Office Hour | E1 1, 3.06 | 4 | 19.11.24 | 19.11.24 | No | |
| Project 4: Q-Learning | Programming Project | 23.01.25 | 06.02.25 | No | |||
| Search II: Heuristic Search & Search III: Sparse Search | Lecture | E1 3, Lecture Hall 002 | 31.10.24 | 31.10.24 | No | ||
| Search III: Sparse Search | Lecture | E1 3, Lecture Hall 002 | 04.11.24 | 04.11.24 | No | ||
| Symbolic Planning I: Formalisms | Lecture | E1 3, Lecture Hall 002 | 07.11.24 | 07.11.24 | No | ||
| Symbolic Planning I: Formalisms & Symbolic Planning II: Heuristic Search Basics | Lecture | E1 3, Lecture Hall 002 | 11.11.24 | 11.11.24 | No | ||
| MDPs II: Probabilistic Planning & PDBs | Lecture | Günter-Hotz-Hörsaal | 16.12.24 | 16.12.24 | No |