Results 301 to 310 of about 9,278,000 (361)

Intelligent Agents: Multi-Agent Systems

2019
This article provides an overview of the fundamentals related to agent-oriented paradigm and Multi Agent Systems (MASs). Specifically, in the first part, the definition of agent and its main features are reported. The second section discusses multi-agent systems and their main features by focusing on the concepts of automation, coordination, norms and ...
Garro, Alfredo, Mühlhäuser, Max, Tundis, Andrea, Baldoni, Matteo, Baroglio, Cristina, BERGENTI, FEDERICO, TORRONI, Paolo   +6 more
openaire   +4 more sources

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Handbook of Reinforcement Learning and Control, 2019
Recent years have witnessed significant advances in reinforcement learning (RL), which has registered great success in solving various sequential decision-making problems in machine learning.
K. Zhang, Zhuoran Yang, T. Başar
semanticscholar   +1 more source

Agent Laboratory: Using LLM Agents as Research Assistants

Conference on Empirical Methods in Natural Language Processing
Historically, scientific discovery has been a lengthy and costly process, demanding substantial time and resources from initial conception to final results.
Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, E. Barsoum   +8 more
semanticscholar   +1 more source

The StarCraft Multi-Agent Challenge

Adaptive Agents and Multi-Agent Systems, 2019
In the last few years, deep multi-agent reinforcement learning (RL) has become a highly active area of research. A particularly challenging class of problems in this area is partially observable, cooperative, multi-agent learning, in which teams of ...
Mikayel Samvelyan, Tabish Rashid, C. S. D. Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson   +9 more
semanticscholar   +1 more source

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Neural Information Processing Systems
Language model (LM) agents are increasingly being used to automate complicated tasks in digital environments. Just as humans benefit from powerful software applications, such as integrated development environments, for complex tasks like software ...
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Adriano Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press   +6 more
semanticscholar   +1 more source

Agents Prosecuting Agents

SSRN Electronic Journal, 2011
Significant questions have been raised concerning the efficiency of criminalizing agency costs and the problems of excessive prosecution of crimes committed by corporate agents. This paper provides a new perspective on these questions by analyzing them from the perspective of agency cost theory.
openaire   +1 more source

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

arXiv.org
Mobile device agent based on Multimodal Large Language Models (MLLM) is becoming a popular application. In this paper, we introduce Mobile-Agent, an autonomous multi-modal mobile device agent.
Junyang Wang, Haiyang Xu, Jiabo Ye, Mingshi Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang   +7 more
semanticscholar   +1 more source

Antiangiogenesis agents

Ophthalmology Clinics of North America, 2002
Although these preliminary results on the use of antiangiogenesis drugs for the treatment of neovascular AMD appear promising, double-masked, placebo-controlled, multicenter clinical trials are needed to demonstrate the therapeutic efficacy of such treatments. For example, the first antiangiogenesis drug tested in AMD, interferon alpha-2a, raised great
Antonio P, Ciardella, Irene M, Donsoff, David R, Guyer, Anthony, Adamis, Lawrence A, Yannuzzi   +4 more
openaire   +2 more sources

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

arXiv.org
The recent rapid development of large language models (LLMs) has sparked a new wave of technological revolution in medical artificial intelligence (AI). While LLMs are designed to understand and generate text like a human, autonomous agents that utilize ...
Junkai Li, Siyu Wang, Meng Zhang, Weitao Li, Yunghwei Lai, Xinhui Kang, Weizhi Ma, Yang Liu   +7 more
semanticscholar   +1 more source

Antifungal agents

Medical Journal of Australia, 2007
The four main classes of antifungal drugs are the polyenes, azoles, allylamines and echinocandins. Clinically useful "older" agents include topical azole formulations (for superficial yeast and dermatophyte infections), first-generation triazoles (fluconazole and itraconazole, for a range of superficial and invasive fungal infections), amphotericin B ...
Sharon C A, Chen, Tania C, Sorrell
openaire   +2 more sources