Course Description
- Lecturers:
- Prof. Thielscher, Stephan Schiffel
- Prerequisites:
- none
Each participant chooses a specific topic on Game Playing and AI. They are then requested to become acquainted with the topic by reading the relevant literature. At the end of the lecturing period, the participants present their topic in a scientific talk (20 to 25 minutes + 5 to 10 minutes discussion). They are also required to write a paper on the selected topic (~10 pages in length), which conforms to the standards of scientific writing. Talks can be held in english or german.
Time Table
22.07.2008, 10.30am to 3pm, room E007
Consultations
During the Open House or by appointment.
Topics
General Techniques
| Topic |
Student |
| Endgame databases |
Md. Abu Naser Masud |
| Reinforcement Learning for Game Playing |
Eva Wagner |
| Monte-Carlo Game Tree Search |
Christoph Spallek |
| Opponent Modelling |
M. Fareed Arif |
Specific Types of Games
| Bayesian Games |
Anees Mehdi |
Specific Games
| Computer Kriegspiel |
Jakob Hasse |
| Computer Poker |
Jan-Henrik Moß |
