This paper investigates real-time scheduling in a system whose energy reservoir is replenished by an environmental power source. The execution of tasks is deemed primarily energy-...
Clemens Moser, Lothar Thiele, Luca Benini, Davide ...
The widening gap between processor and memory performance is the main bottleneck for modern computer systems to achieve high processor utilization. In this paper, we propose a new...
Chun Xue, Zili Shao, Meilin Liu, Mei Kang Qiu, Edw...
Abstract. This paper presents a technique called Improved Squeaky Wheel Optimisation (ISWO) for driver scheduling problems. It improves the original Squeaky Wheel Optimisation'...
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...