AI Gamer for Strategic Simulation
Practicum
About This Topic
Develop an AI gamer for a turn-based strategy game with different types of units (e.g. like the warring part of Civilization or like Panzer Corps) that is based on the UCT algorithm (i.e. Monte Carlo Tree Search and the UCB1 heuristic for exploration and evaluation) and self-developed heuristic improvements based on machine learning. If done as a diploma thesis should also include a generic GUI with a 2.5D view and an editor. Ideally, implemented based on TripleA.
Additional Information
Contact the supervisor for details on the project results.