首页|New Findings Reported from Polytechnic University of Valencia Describe Advances in Intelligent Systems (Team Formation Through an Assessor: Choosing Marl Agents In Pursuit-evasion Games)
New Findings Reported from Polytechnic University of Valencia Describe Advances in Intelligent Systems (Team Formation Through an Assessor: Choosing Marl Agents In Pursuit-evasion Games)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning - In telligent Systems have been presented. According to news reporting originating i n Valencia, Spain, by NewsRx journalists, research stated, "Team formation in mu lti-agent systems usually assumes the capabilities of each team member are known , and the best formation can be derived from that information. As AI agents beco me more sophisticated, this characterisation is becoming more elusive and less p redictive about the performance of a team in cooperative or competitive situatio ns." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from the Polytechnic Unive rsity of Valencia, "In this paper, we introduce a general and flexible way of an ticipating the outcome of a game for any lineups (the agents, sociality regimes and any other hyperparameters for the team). To this purpose, we simply train an assessor using an appropriate team representation and standard machine learning techniques."
ValenciaSpainEuropeIntelligent Sys temsMachine LearningPolytechnic University of Valencia
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