Results 11 to 20 of about 64,232 (120)

The Use of Fibrinolytic Agents in the Salvage of Free Flaps: A Systematic Review [PDF]

open access: goldJ Pers Med
Patrick Mandal   +8 more
openalex   +2 more sources

Combining Antithrombotic and Fibrinolytic Agents [PDF]

open access: bronzeStroke, 2013
Pooja Khatri, Marie‐Luise Mono
openalex   +2 more sources

Improving of Robotic Virtual Agent's errors that are accepted by reaction and human's preference [PDF]

open access: yesInternational Conference on Social Robotics, Dec 2023, 2023
One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. In this study, we focused on a task between an agent and a human in which the agent makes a mistake. To investigate significant factors for designing a robotic agent that can promote humans empathy, we experimentally examined the ...
arxiv   +1 more source

Appearance [PDF]

open access: yesIn B. Lugrin, C. Pelachaud, D. Traum (Eds.), The Handbook on Socially Interactive Agents, Volume 1 (pp. 107-146). ACM books (2021), 2021
Socially interactive agents (SIAs) are no longer mere visions for future user interfaces, as 20 years of research and technology development has enabled the use of virtual and physical agents in day-to-day interfaces and environments. This chapter of the ACM "The Handbook on Socially Interactive Agents" reviews research on and technologies involving ...
arxiv   +1 more source

Shared features of endothelial dysfunction between sepsis and its preceding risk factors (aging and chronic disease) [PDF]

open access: yes, 2018
Acute vascular endothelial dysfunction is a central event in the pathogenesis of sepsis,increasing vascular permeability, promoting activation of the coagulation cascade, tissue edema and compromising perfusion of vital organs. Aging and chronic diseases(hypertension,dyslipidaemia,diabetes mellitus,chronic kidney disease,cardiovascular disease ...
arxiv   +1 more source

Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning [PDF]

open access: yesarXiv, 2021
Training a multi-agent reinforcement learning (MARL) algorithm is more challenging than training a single-agent reinforcement learning algorithm, because the result of a multi-agent task strongly depends on the complex interactions among agents and their interactions with a stochastic and dynamic environment.
arxiv  

Fact-based Agent modeling for Multi-Agent Reinforcement Learning [PDF]

open access: yesarXiv, 2023
In multi-agent systems, agents need to interact and collaborate with other agents in environments. Agent modeling is crucial to facilitate agent interactions and make adaptive cooperation strategies. However, it is challenging for agents to model the beliefs, behaviors, and intentions of other agents in non-stationary environment where all agent ...
arxiv  

Cooperative Heterogeneous Deep Reinforcement Learning [PDF]

open access: yesarXiv, 2020
Numerous deep reinforcement learning agents have been proposed, and each of them has its strengths and flaws. In this work, we present a Cooperative Heterogeneous Deep Reinforcement Learning (CHDRL) framework that can learn a policy by integrating the advantages of heterogeneous agents.
arxiv  

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