Approximation Bayesian Reinforcement Learning based on Estimation of Plant Variation and its Application to Peg-in-Hole Task

  • Kei Senda, Toru Hishinuma, Yurika Tani
  • Transactions of the Institute of Systems Control and Information Engineers, January 2016, The Institute of Systems, Control and Information Engineers
  • DOI: 10.5687/iscie.29.122

The authors haven't finished explaining this publication. If you are the author, sign in to claim or explain your work.

Read Publication

http://dx.doi.org/10.5687/iscie.29.122

The following have contributed to this page: Dr. Kei Senda