首页|Findings on Robotics and Automation Detailed by Investigators at Shanghai Jiao T ong University (Dream To Adapt: Meta Reinforcement Learning By Latent Context Im agination and Mdp Imagination)
Findings on Robotics and Automation Detailed by Investigators at Shanghai Jiao T ong University (Dream To Adapt: Meta Reinforcement Learning By Latent Context Im agination and Mdp Imagination)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation.According to news reporting originating from Shangh ai, People’s Republic of China, by NewsRx correspondents, research stated, “Meta reinforcement learning (Meta RL) has been amply explored to quickly learn an un seen task by transferring previously learned knowledge from similar tasks.Howev er, most state-of-the-art Meta RL algorithms require the meta-training tasks to have a dense coverage of the task distribution and a great amount of data for ea ch of them.”
ShanghaiPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsEmerging TechnologiesMachine LearningReinforcement LearningShanghai Jiao Tong University
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