This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
In runtime monitoring, a programmer specifies a piece of code to execute when a trace of events occurs during program execution. Previous and related work has shown that runtime m...
It is challenging to process transactions in a timely fashion using fresh data, e.g., current stock prices, since database workloads may considerably vary due to dynamic data/reso...
Abstract—We present LeWI: a novel load balancing algorithm, that can balance applications with very different patterns of imbalance. Our algorithm can balance fine grain imbalan...
maintain awareness of its environment for a long period of time. Additionally, knowledge-intensive agents must be engineered such that their knowledge can be easily updated as envi...