Artificial Intelligence

Prof. Dr. Jörg Hoffmann, Dr. Daniel Höller

Timetable

Title Type Location Serial Start End All Day
Symbolic Planning V: Abstractions & Symbolic Planning VI: Pattern Databases Lecture Günter-Hotz-Hörsaal 28.11.24 28.11.24 No 
ML Basics Lecture Günter-Hotz-Hörsaal 02.12.24 02.12.24 No 
Demo: The C++ Standard Library Demo E1 3, Lecture Hall 002 05.11.24 05.11.24 No 
Games II: Learning Lecture Günter-Hotz-Hörsaal 20.01.25 20.01.25 No 
Trusted AI: Action Policies Lecture Günter-Hotz-Hörsaal 23.01.25 23.01.25 No 
Demo: Getting Started with C++ Demo E1 3, Lecture Hall 002 29.10.24 29.10.24 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 
About this Course, Introduction Lecture E1 3, Lecture Hall 002 17.10.24 17.10.24 No 
Demo: Introduction to the Programming Projects Demo E1 3, Lecture Hall 002 12.11.24 12.11.24 No 
ML Basics & Symbolic Planning VII: Learning Lecture Günter-Hotz-Hörsaal 05.12.24 05.12.24 No 
Introduction to AI & A Glimpse of Omitted Areas Lecture E1 3, Lecture Hall 002 21.10.24 21.10.24 No 
Project 0: Blind + Goal-Counting Heuristic Programming Project 11.11.24 18.11.24 No 
Project 1: hmax + hFF Programming Project 18.11.24 05.12.24 No 
Project 3: Supervised Learning Programming Project 09.01.25 23.01.25 No 
Search I: Blind Search Lecture E1 3, Lecture Hall 002 24.10.24 24.10.24 No 
MDPs I: Introduction & Heuristic Search Lecture Günter-Hotz-Hörsaal 09.12.24 09.12.24 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 
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 
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