|History:||This course was formerly known as Games and agents (INFOMGMAG). You can only do one of these courses.|
|Period:||period 4 (week 17 through 26, i.e., 26-4-2021 through 2-7-2021; retake week 28)|
|Participants:||up till now 0 subscriptions|
|Schedule:||Official schedule representation can be found in MyTimetable|
|Note:||No up-to-date course description available.|
Text below is from year 2019/2020
In this course, we look at two ways to use AI for games: training an agent to play a game, and automatically generating (elements of) a game.
The first half of the course will focus on using reinforcement learning to train an agent to play a turn-based game. The second half of the course will focus on different methods of procedural content generation.
|Course form:||Video lectures and two weekly remote interactive sessions.|
There will be two homework assignments with theory exercises (H1, H2), and two implementation projects (P1, P2). The final grade will be a weighted sum of the individual grades:
0.25 * H1 + 0.1 * H2 + 0.25 * P1 + 0.4 * P2
The homework exercises will be (partially) peer-graded.
|Minimum effort to qualify for 2nd chance exam:||To qualify for the retake exam, the grade of the original must be at least 4.|