首页|Researchers from University of Kansas Detail Findings in Machine Learning (Hex: Human-in-the-loop Explainability Via Deep Reinforcement Learning)
Researchers from University of Kansas Detail Findings in Machine Learning (Hex: Human-in-the-loop Explainability Via Deep Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Lawrence, Kansas, by NewsRx editors, the research stated, “The use of machine learning(ML) models i n decision-making contexts, particularly those used in high-stakes decision-maki ng, arefraught with issue and peril since a person - not a machine - must ultim ately be held accountable for theconsequences of decisions made using such syst ems. Machine learning explainability (MLX) promises toprovide decision-makers w ith prediction-specific rationale, assuring them that the model-elicited predictions are made for the right reasons and are thus reliable.”
LawrenceKansasUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningReinforcem ent LearningUniversity of Kansas
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