首页|Findings from Harbin Institute of Technology in Computational Intelligence Repor ted (Data Efficient Deep Reinforcement Learning With Action-ranked Temporal Diff erence Learning)
Findings from Harbin Institute of Technology in Computational Intelligence Repor ted (Data Efficient Deep Reinforcement Learning With Action-ranked Temporal Diff erence Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g originating from Shenzhen, People’s Republic of China, by NewsRxcorrespondent s, research stated, “In value-based deep reinforcement learning (RL), value func tion approximationerrors lead to suboptimal policies. Temporal difference (TD) learning is one of the most importantmethodologies to approximate state-action (Q) value function.”
ShenzhenPeople’s Republic of ChinaAs iaComputational IntelligenceEmerging TechnologiesMachine LearningReinfor cement LearningHarbin Institute of Technology
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