This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Testing of embedded cores is very difficult in SOC (system-on-a-chip), since the core user may not know the gate level implementation of the core, and the controllability and obse...
In todays IP networks most of the network control and management tasks are performed at the end points. As a result, many important network functions cannot be optimized due to la...
Abstract. We present a technique that achieves local contrast enhancement by representing it as an optimization problem. For this, we first introduce a scalar objective function th...
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...