— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
We introduce an algorithm to estimate the optimal exposure parameters from the analysis of a single, possibly under- or over-exposed, image. This algorithm relies on a new quantita...
This paper presents a novel source code transformation for control flow optimizationcalled loop nest splitting which minimizes the number of executed if-statements in loop nests ...
Abstract. Self-adaptive systems must recon gure themselves, at runtime, to compensate for changing environments, objectives, and system capabilities. This paper discusses how the S...
Abstract— This paper investigates optimal routing and adaptive scheduling in a wireless mesh network composed of mesh clients and mesh routers. The mesh clients are power constra...