Buddha und Pac-Man

Pac-Man or Pac-Bot? Exploring subjective perception of players' humanity in Ms. Pac-Man

Simulating human behaviour when playing video games has been recently proposed as an interesting challenge for the research community on Artificial Intelligence. In the exploration on Machine Learning techniques for training virtual players (i.e. computer bots) to imitate the conduct of real (human) players, we are using the classic arcade game Ms. Pac-Man as testbed. Our research goal is to fi...

Clever Pac-man

In this paper we show how combining fuzzy sets and reinforcement learning a winning agent can be created for the popular Pac-man game. Key elements are the classification of the state into a few fuzzy classes that makes the problem manageable. Pac-man policy is defined in terms of fuzzy actions that are defuzzified to produce the actual Pac-man move. A few heuristics allow making the Pac-man st...

UCT for Pac-Man

This is the written documentation of the implementation of an agent for Ms-Pac-Man for a Ms. Pac-Man simulation. The agent uses the UCT algorithm (upper confident bounds) which is becoming more prominent in the domain of artificial intelligence research. In this document you will find a description of the UCT algorithm, statements to the implementation and an evaluation of the performance.

PAC-Lernen zur Insolvenzerkennung und Hotspot-Identifikation

Technical Aspects of Roomba Pac-Man

Robotics can be seen as a field of computer science still in its infancy. In recent years there has been a tremendous explosion in innovation, both in hardware and software. The dynamic nature of robotics as well as the necessity for physical hardware presents a unique challenge for those wishing to educate the next generation of roboticists. This paper presents the technical aspects of Brown U...