Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
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...
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
-- Starting Electronic System Level (ESL) design flows with executable High-Level Models (HLMs) has the potential to sustainably improve productivity. However, writing good HLMs fo...
Christian Zebelein, Joachim Falk, Christian Haubel...
The economic impact of the growth dynamic of standards is often described from a macroeconomic point of view, employing network effect theory and models dealing with externalities...