Abstract: Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems ...

Osaka, Japan – Researchers have clarified the mechanisms by which energy loss is locally maximized at a certain rotational speed in gas-liquid two-phase flows driven by rotors, providing fundamental ...

Abstract: It has been demonstrated that fast convolutional sparse dictionary learning (FCSDL) is a useful instrument for diagnosing rolling bearing faults and can recover rolling bearing fault shocks ...

Wayne-based accounting firm Stephano Slack has added to its growth momentum with two new acquisitions in the Philadelphia region, writes Jeff Blumenthal for the Philadelphia Business Journal. The ...