Artificial Intelligence Approaches for Real-Time Strategy Games

Sonntag, 24. Juni 2018

In the past, video games and games, in general, have provided interesting environments for AI researchers. Recently, neural networks have tackled increasingly complex games, such as Go. Among the top challenges in today’s research in that area is the competitively played video game Starcraft 2. From an AI perspective, the game is challenging both in its basic elements (unit control, building placement) as well as in its overall strategy. In particular, the overall strategy, also called Macro gameplay, is interesting due to the need to think ahead, the sheer amount of possible combinations, ability to react to the opponents actions and the creativity that goes into developing these strategies. The complete project description can be found here:


  • Nico Neufeld
  • Jan Niklas Hombeck
  • Lisa Werner
  • Samuel Gros
  • Christopher Nebe
  • Felix Engemann
  • Marco Schanz
  • Patrik Eßer
  • Julian Rogawski
  • Manuel Kohler
  • Fabian Weigend