Abstract: In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent ...

Abstract: In this two-part paper we study stabilization and optimal control of linear time-invariant systems with stochastic multiplicative uncertainties. We consider structured multiplicative ...

In March 2021, a group of four researchers—a collaboration of linguists and computer scientists—published their now legendary ...

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Rare events such as conformational changes in biomolecules, phase transitions, and chemical reactions are central to the behavior of many physical systems, yet they are extremely difficult to study ...

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Edited by Bard Ermentrout, University of Pittsburgh, Pittsburgh, PA; received February 24, 2023; accepted May 18, 2023 by Editorial Board Member Linda R. Petzold ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.

In the mid-noughties, when music by the Killers and Franz Ferdinand blared out of every pub and nightclub I passed, I spent ...