首页|Reports Outline Computational Intelligence Study Findings from Chiba University (Estimation of Different Reward Functions Latent in Trajectory Data)

Reports Outline Computational Intelligence Study Findings from Chiba University (Estimation of Different Reward Functions Latent in Trajectory Data)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on computational intelligen ce are presented in a new report. Accordingto news reporting originating from C hiba, Japan, by NewsRx correspondents, research stated, “In recentyears, invers e reinforcement learning has attracted attention as a method for estimating the intention ofactions using the trajectories of various action-taking agents, inc luding human flow data.”

Chiba UniversityChibaJapanAsiaCo mputational IntelligenceEmerging TechnologiesMachine LearningReinforcement Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.4)