首页|New Robotics and Automation Findings from University of Texas Austin Described ( Leadership Inference for Multi-agent Interactions)
New Robotics and Automation Findings from University of Texas Austin Described ( Leadership Inference for Multi-agent Interactions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Current study results on Robotics - Ro botics and Automation have been published. According to news reporting from Aust in, Texas, by NewsRx journalists, research stated, “Effectively predicting inten t and behavior requires inferring leadership in multi-agent interactions. Dynami c games provide an expressive theoretical framework for modeling these interacti ons.” Financial support for this research came from National Science Foundation (NSF).
AustinTexasUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsUniversity of Texas Austin
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