首页|Studies from National University of Defense Technology Reveal New Findings on Co mputational Intelligence (Dynamic Memory-based Curiosity: a Bootstrap Approach f or Exploration In Reinforcement Learning)

Studies from National University of Defense Technology Reveal New Findings on Co mputational Intelligence (Dynamic Memory-based Curiosity: a Bootstrap Approach f or Exploration In Reinforcement Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning - Compu tational Intelligence are presented in a new report. According to news reporting out of Changsha, People’s Republic of China, by NewsRx editors, research stated , “The sparsity of extrinsic rewards presents a significant challenge for deep r einforcement learning (DRL). As an alternative, researchers have focused on intr insic rewards to improve exploration efficiency.” Financial support for this research came from Science and Technology Innovation 2030.

ChangshaPeople’s Republic of ChinaAs iaComputational IntelligenceEmerging TechnologiesMachine LearningReinfor cement LearningNational University of Defense Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.20)