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Using sim-to-real transfer learning to close gaps between simulation and real environments through reinforcement learning

Yuto Ushida, Hafiyanda Razan, Shunta Ishizuya, Takuto Sakuma, Shōhei Kato

发表年份: 2021
引用次数: 6

关键词

Reinforcement learningComputer scienceMobile robotRobotTransfer of learningAction (physics)Artificial intelligenceRobot learningError-driven learningNoise (video)

Using sim-to-real transfer learning to close gaps between simulation and real environments through reinforcement learning

关键词

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