main webpage W Topic Multi-Agent System Sensors • Vol 23 • No 1 Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents 2022 In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the ma… Article Open Multi-Agent System Open Article Page

Multi-Agent System

Built of multiple interacting agents A multi-agent system ( MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning. With advancements in large language models (LLMs), LLM-based multi-agent systems have emerged as a new area of research, enabling more sophisticated interactions and coordination among agents. Despite considerable overlap, a multi-agent system is not always the same as an agent-based model (ABM). Critical Symbolic Virtual Narrative Open Multi-Agent System Open Article Page

Exploring foci of: Sensors • Vol 23 • No 1 Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents 2022 In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the main and guide agents, and these agents decide whether to select a feature. Main agents select the optimal features, and guide agents present the criteria for judging the main agents’ actions. After obtaining the main and guide rewards for the features selected … Open Article Page

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Explore Multi-Agent System W Topic Multi-Agent System Sensors • Vol 23 • No 1 Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents 2022 In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the ma… Article Critical Symbolic Virtual Narrative Open Multi-Agent System Open Article Page