In this paper, we consider NP-hard mean-variance (MV) optimization problems in Markov decision processes with a finite time horizon. We present a heuristic approach to solve MV problems, which is ...

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental ...

Artificial Intelligence is one of the hottest discussion points in the architecture profession and there is, without doubt, a ...

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for ...

Humans are wired to focus on bad news, amplified by media and algorithms. Mindful consumption and balanced perspectives can ...

Maybe you're not a believer in such things, but there is a bit of neuroscience involved in the claim. The affect heuristic involves how we feel and subsequently think: If you're feeling positive, you ...

As fear of flying contributes to the current downturn in bookings, the aviation industry must find ways to restore confidence ...

Graph-based detection of (co-)orthologs is typically based on a reciprocal best alignment heuristic that requires an all vs. all comparison of proteins from all species under study. The initial ...

Though software is generally not on the top of mind when Amazon's sales events happen, it's actually a great time to save on ...

Abstract: This paper describes a learning control system using a reinforcement technique. The controller is capable of controlling a plant that may be nonlinear and nonstationary. The only a priori ...