Timetable
| Title | Type | Location | Serial | Start | End | All Day | |
|---|---|---|---|---|---|---|---|
| MDPs II: Probabilistic Planning & PDBs | Lecture | E1 3, Lecture Hall 002 | 2 | 16.12.25 | 16.12.25 | No | |
| MDPs III: Reinforcement Learning | Lecture | E1 3, Lecture Hall 002 | 1 | 08.01.26 | 08.01.26 | No | |
| Project 3: Supervised Learning | Programming Project | 08.01.26 | 22.01.26 | No | |||
| MDPs III: Reinforcement Learning & Games I: Search | Lecture | E1 3, Lecture Hall 002 | 2 | 13.01.26 | 13.01.26 | No | |
| Games I: Search | Lecture | E1 3, Lecture Hall 002 | 1 | 15.01.26 | 15.01.26 | No | |
| Games II: Learning | Lecture | E1 3, Lecture Hall 002 | 2 | 20.01.26 | 20.01.26 | No | |
| Project 4: Q-Learning | Programming Project | 22.01.26 | 05.02.26 | No | |||
| Trusted AI: Action Policies | Lecture | E1 3, Lecture Hall 002 | 2 | 27.01.26 | 27.01.26 | No | |
| Trusted AI: Action Policies | Lecture | E1 3, Lecture Hall 002 | 1 | 29.01.26 | 29.01.26 | No | |
| Exam Preparation | Lecture | E1 3, Lecture Hall 002 | 2 | 03.02.26 | 03.02.26 | No |