TEACHING MULTIPLE INVERSE REINFORCEMENT LEARNERS

Teaching Multiple Inverse Reinforcement Learners

In this paper, we propose the first machine teaching algorithm for multiple inverse reinforcement learners.As our initial contribution, we formalize the problem of optimally teaching a sequential task to a heterogeneous class of learners.We then contribute a theoretical analysis of such problem, identifying conditions ruoan s?ilytysastia under whic

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Advancements in Sensor Fusion for Underwater SLAM: A Review on Enhanced Navigation and Environmental Perception

Underwater simultaneous localization and mapping (SLAM) has significant vive night splint challenges due to the complexities of underwater environments, marked by limited visibility, variable conditions, and restricted global positioning system (GPS) availability.This study provides a comprehensive analysis of sensor fusion techniques in underwater

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Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

Abstract This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue.AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, an

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Sultan Ebrahim Mirza significance in Safavid Art

Iran, in the early tenth century, has undergone political, social, economic changes.These transformations, which pioneered the Safavids into the modern era, gradually surfaced when Safavid dynasty rose to power with King Esmaeil I in 907 Hejri.Researching the Safavid era requires that cultural and artistic issues of the period be paid ample attenti

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