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Research Area: Games

Projects

Ms. Pacman: Learning to play Ms. Pacman
Starships: A dynamic scaling heuristic is applied to Neural Fitted Q-Iteration in order to learn a strategy for a simple space ship combat simulation. [Video] pdf
Starcraft: Neural Fitted Q-Iteration is employed to control attack and retreat patterns of small groups of units in the popular Starcraft strategy game.
Torcs: Learning to control the steering behaviour of a racing car in the TORCS simulation using Neural Fitted Q-Iteration. [Video]
Civilization IV: A neural network is trained to choose among a predefined set of strategies based on the current game situation.