Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Algorithmic mechanism design considers distributed settings where the participants, termed agents, cannot be assumed to follow the protocol but rather their own interests. The pro...
Computers have been widely deployed to our daily lives, but human-computer interaction still lacks intuition. Researchers intend to resolve these shortcomings by augmenting tradit...
Matthias Wimmer, Christoph Mayer, Sylvia Pietzsch,...
Security and reliability are of paramount importance in designing and building real-time systems because any security failure can put the public and the environment at risk. In th...
Large displays and hand gestures can be combined to augment the traditional desktop paradigm, allowing for multiple co-located users to interact simultaneously with a single compu...