Assignment 4 description

Assignment details

In this assignment you will explore topics that you agree upon across at least 3 groups. Possible topics include

You need to do the following:

  1. Check the links above to decide what you are interested in
  2. (optional) if you like to add a topic on the list, do so at this page
  3. Use this page (same as above) to write your name on (possibly several) topics of interest
  4. (optional) discuss and advocate your favourite topic (see 5.1 below)!
  5. Make your decision (now only one topic), and add yourself to the corresponding topic-group (deadline Wednesday 3/5, 13:00)
    1. The group needs to have at least 6 members otherwise it will be removed and you have to re-choose 
  6. At the lecture, you will find (or be assigned to) a partner who choose the same topic
  7. At the lecture, each topic group will be assigned a manager and deputy manager

After you agree on a broad topic across a set of groups, you need to agree on the specifics.

Each set of groups agree on what the competition should look like, and what to adapt/extend to make the competition happen. (The topic managers lead/coordinate this work, aim for consensus, if not possible the manager decides)

You can use up to 50% of your time to adapt/develop the common framework (this is done in cooperation by all groups participating in the topic), but at least 50% must be spent on a competitive Multi-agent AI element.

 

Report progress here, as usual. Links to an external site.

Papers that might be of interest

  • Hamzah Ahmad and Toru Namerikawa. Extended kalman filter-based mobile robot localization with intermittent measurements.Systems Science& Control Engineering, 1(1):113–126, 2013.
  • Murray Campbell and T. Anthony Marsland. A comparison of minimaxtree search algorithms. 20:347–367, 07 1983.
  • Glen Robertson and Ian Watson. A review of real-time strategy game ai.35:75–104, 12 2014.
  • Monto Carlo Tree Search in Real Time Strategy Games with Applications to Starcraft 2 Links to an external site. 
  • Ruck Thawonmas and Hiroshi Matsumoto. Automatic controller of ms.pac-man and its performance: Winner of the ieee cec 2009 softwareagent ms. pac-man competition. Proc. Asia Simulation Conference, 2009.