Complex systems consist of a large number of entities with their independent local rules and goals, along with their interactions. The effect of these properties tends to produce ...
Yongchang Li, Michael Balchanos, Bassem Nairouz, N...
Exploring a large portion of the microprocessor design space requires the rapid development of efficient simulators. While some systems support rapid model development through the...
Applications in the Pervasive Computing domain are challenged by the dynamism in which their execution environment changes, e.g. due to user mobility. As a result, applications ha...
Christian Becker, Marcus Handte, Gregor Schiele, K...
Robotics is a challenging domain that exhibits a clear need for self-adaptive capabilities, as self-adaptation offers the potential for robots to account for their unstable and unp...
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...