Results 111 to 120 of about 383,105 (350)
Environmental racism and air pollution: Pre and post the COVID‐19 economic shutdown
Review of Policy Research, EarlyView., 2023 Abstract Decades of research demonstrates that minoritized groups are disproportionately affected by swathes of harmful pollutants, including air pollution, even controlling for low income. Would significantly reducing individual car traffic help reduce the EJ gap?
Heather E. Campbell +3 more
wiley +1 more source
Probabilistic Agent Programs [PDF]
arXiv, 1999 Agents are small programs that autonomously take actions based on changes in their environment or ``state.'' Over the last few years, there have been an increasing number of efforts to build agents that can interact and/or collaborate with other agents.
arxiv
Constructive agents nullify the ability of destructive agents to foster cooperation in public goods games [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science 34.10
(2024)Existing studies have revealed a paradoxical phenomenon in public goods games, wherein destructive agents, harming both cooperators and defectors, can unexpectedly bolster cooperation. Building upon this intriguing premise, our paper introduces a novel concept: constructive agents, which confer additional benefits to both cooperators and defectors.
arxiv +1 more source
European Journal of Heart Failure, EarlyView.Linking guideline‐directed medical therapy (GDMT) implementation and appropriate polypharmacy management in heart failure (HF). Polypharmacy can represent a barrier to the proper implementation of life‐prolonging GDMT for HF. A reasonable balance between the optimization of GDMT and avoiding inappropriate polypharmacy is mandatory in the contemporary ...
Davide Stolfo +27 more
wiley +1 more source
An agent framework for dynamic agent retraining: Agent academy [PDF]
In B. Stanford-Smith, E. Chiozza, and M. Edin, editors, Challenges
and Achievements in e-business and e-work, pages 757-764, Prague, Czech
Republic, October 2002. IOS Press, 2004 Agent Academy (AA) aims to develop a multi-agent society that can train new agents for specific or general tasks, while constantly retraining existing agents in a recursive mode. The system is based on collecting information both from the environment and the behaviors of the acting agents and their related successes/failures to generate a body of data,
arxiv
Investigating the protective role of the natural hormone Melatonin, in reducing drug-induced cardiotoxicity in the therapy of chronic diseases [PDF]
, 2019 Heart failure (HF) is a highly complex disorder and a major end-point of cardiovascular diseases (CVD). The pathogenesis of HF is mostly unresolved but involves interplay between cardiac structural and electrical remodelling, metabolic alterations, cell ...
Kasi Ganeshan, T., Kasi Ganeshan, T.
core
Cardioprotective effects of semaglutide on isolated human ventricular myocardium
European Journal of Heart Failure, EarlyView.Semaglutide reduces late sodium current (INa) and diastolic calcium (Ca) sparks in human cardiomyocytes from aortic stenosis (AS) and end‐stage heart failure with reduced ejection fraction (HFrEF) patients, thereby increasing Ca transients. Improved Ca storage may underly the enhanced contractility of human cardiomyocytes upon semaglutide.
Thomas Krammer +16 more
wiley +1 more source
Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning [PDF]
arXiv, 2019 Finding feasible and collision-free paths for multiple nonlinear agents is challenging in the decentralized scenarios due to limited available information of other agents and complex dynamics constraints. In this paper, we propose a fast multi-agent collision avoidance algorithm for general nonlinear agents with continuous action space, where each ...
arxiv
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems [PDF]
arXiv, 2020 Regret analysis is challenging in Multi-Agent Reinforcement Learning (MARL) primarily due to the dynamical environments and the decentralized information among agents. We attempt to solve this challenge in the context of decentralized learning in multi-agent linear-quadratic (LQ) dynamical systems.
arxiv
Agent TCP/IP: An Agent-to-Agent Transaction System [PDF]
arXivAutonomous agents represent an inevitable evolution of the internet. Current agent frameworks do not embed a standard protocol for agent-to-agent interaction, leaving existing agents isolated from their peers. As intellectual property is the native asset ingested by and produced by agents, a true agent economy requires equipping agents with a universal
arxiv