Home /Research /Cognitively inspired reinforcement learning architecture and its application to giant-swing motion control
LEARNING

Cognitively inspired reinforcement learning architecture and its application to giant-swing motion control

Daisuke Uragami, Tatsuji Takahashi, Yoshiki Matsuo

Year
2013
Citations
8

Keywords

Reinforcement learningQ-learningArtificial intelligenceComputer scienceState spaceDilemmaMotion (physics)Machine learningMathematics

Related papers

Browse all LEARNING papers