Timetable

Title Type Location Serial Start End All Day
Symbolic Planning IV: Delete-Relaxation Heuristics Lecture E1 3, Lecture Hall 002 12.11.26 12.11.26 No 
Symbolic Planning I: Formalisms & Symbolic Planning II: Heuristic Search Basics Lecture E1 3, Lecture Hall 002 05.11.26 05.11.26 No 
About this Course Lecture E1 3, Lecture Hall 002 13.10.26 13.10.26 No 
Re-Exam Inspection Exam E1 3, Lecture Hall 002 16.03.27 16.03.27 No 
Introduction to AI & A Glimpse of the Omitted Areas Lecture E1 3, Lecture Hall 002 15.10.26 15.10.26 No 
Search I: Blind Search Lecture E1 3, Lecture Hall 002 20.10.26 20.10.26 No 
Search I: Blind Search & Search II: Heuristic Search Lecture E1 3, Lecture Hall 002 22.10.26 22.10.26 No 
Search II: Heuristic Search & Search III: Sparse Search Lecture E1 3, Lecture Hall 002 27.10.26 27.10.26 No 
Search III: Sparse Search Lecture E1 3, Lecture Hall 002 29.10.26 29.10.26 No 
Symbolic Planning I: Formalisms Lecture E1 3, Lecture Hall 002 03.11.26 03.11.26 No 
Symbolic Planning II: Heuristic Search Basics & Symbolic Planning III: Critical-Path Heuristics Lecture E1 3, Lecture Hall 002 10.11.26 10.11.26 No 
Symbolic Planning IV: Delete-Relaxation Heuristics Lecture E1 3, Lecture Hall 002 17.11.26 17.11.26 No 
Main Exam Inspection Exam E1 3, Lecture Hall 002 25.02.27 25.02.27 No 
Symbolic Planning V: Abstractions Lecture E1 3, Lecture Hall 002 24.11.26 24.11.26 No 
Symbolic Planning V: Abstractions & Symbolic Planning VI: Pattern Databases Lecture E1 3, Lecture Hall 002 26.11.26 26.11.26 No 
ML Basics Lecture E1 3, Lecture Hall 002 01.12.26 01.12.26 No 
ML Basics & Symbolic Planning VII: Learning Lecture E1 3, Lecture Hall 002 03.12.26 03.12.26 No 
MDPs I: Introduction & Heuristic Search Lecture E1 3, Lecture Hall 002 08.12.26 08.12.26 No 
MDPs I: Introduction & Heuristic Search Lecture E1 3, Lecture Hall 002 10.12.26 10.12.26 No 
MDPs II: Probabilistic Planning & PDBs Lecture E1 3, Lecture Hall 002 15.12.26 15.12.26 No 
MDPs III: Reinforcement Learning Lecture E1 3, Lecture Hall 002 07.01.27 07.01.27 No 
MDPs III: Reinforcement Learning & Games I: Search Lecture E1 3, Lecture Hall 002 12.01.27 12.01.27 No 
Games I: Search Lecture E1 3, Lecture Hall 002 14.01.27 14.01.27 No 
Games II: Learning Lecture E1 3, Lecture Hall 002 19.01.27 19.01.27 No 
Trusted AI: Action Policies Lecture E1 3, Lecture Hall 002 21.01.27 21.01.27 No 
Trusted AI: Action Policies Lecture E1 3, Lecture Hall 002 26.01.27 26.01.27 No 
Guest Lecture: LLMs in Symbolic Planning Lecture E1 3, Lecture Hall 002 28.01.27 28.01.27 No 
Exam Preparation Lecture E1 3, Lecture Hall 002 02.02.27 02.02.27 No 
Main Exam Exam Multiple lecture halls 18.02.27 18.02.27 No 
Re-Exam Exam Multiple lecture halls 09.03.27 09.03.27 No 
Tutorials (Chapters 3 and 4) Tutorials E1 1, 3.06 02.11.26 N/A Yes 
Midterm Exam Exam Multiple lecture halls 14.12.26 14.12.26 No 
Midterm Exam Inspection Exam E1 3, Lecture Hall 002 17.12.26 17.12.26 No 
Project 0: Blind & Goal-Count Heuristic Programming Project 05.11.26 19.11.26 No 
Project 1: HMax + HFF Heuristics Programming Project 19.11.26 03.12.26 No 
Project 2: PDB Heuristics Programming Project 03.12.26 17.12.26 No 
Project 3: Supervised Learning Programming Project 07.01.27 21.01.27 No 
Project 4: Q-Learning Programming Project 21.01.27 04.02.27 No 
Introduction to the programming projects Demo TBD 05.11.26 05.11.26 No 
Office Hour Office Hour E1 1, 3.06 2 28.01.27 28.01.27 No 
Office Hour Office Hour E1 1, 3.06 2 04.02.27 04.02.27 No 
Office Hour Office Hour E1 1, 3.06 2 07.01.27 07.01.27 No 
Office Hour Office Hour E1 1, 3.06 2 14.01.27 14.01.27 No 
Office Hour Office Hour E1 1, 3.06 2 21.01.27 21.01.27 No 
Office Hour Office Hour E1 1, 3.06 1 26.11.26 26.11.26 No 
Office Hour Office Hour E1 1, 3.06 1 03.12.26 03.12.26 No 
Office Hour Office Hour E1 1, 3.06 1 10.12.26 10.12.26 No 
Office Hour Office Hour E1 1, 3.06 1 17.12.26 17.12.26 No 
Office Hour Office Hour E1 1, 3.06 1 05.11.26 05.11.26 No 
Office Hour Office Hour E1 1, 3.06 1 12.11.26 12.11.26 No 
Office Hour Office Hour E1 1, 3.06 1 19.11.26 19.11.26 No 
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