首页|Recent Findings from University of Warwick Has Provided New Information about Ro botics and Automation (Safe-rl: Saliency-aware Counterfactual Explainer for Deep Reinforcement Learning Policies)
Recent Findings from University of Warwick Has Provided New Information about Ro botics and Automation (Safe-rl: Saliency-aware Counterfactual Explainer for Deep Reinforcement Learning Policies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Robotics and Automation.According to news reporting out of Coventry, U nited Kingdom, by NewsRx editors, research stated, “While Deep Reinforcement Lea rning (DRL) has emerged as a promising solution for intricate control tasks, the lack of explainability of the learned policies impedes its uptake in safety-cri tical applications, such as automated driving systems (ADS).Counterfactual (CF) explanations have recently gained prominence for their ability to interpret bla ck-box Deep Learning (DL) models.”
CoventryUnited KingdomEuropeRoboti cs and AutomationRoboticsEmerging TechnologiesMachine LearningReinforcem ent LearningUniversity of Warwick
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