most citedTime manipulation technique for speeding up reinforcement learning in simulations

7 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2020★ 3 cited

QHSL: a quantum hue, saturation, and lightness color model

Fei Yan, Nianqiao Li, Kaoru Hirota

Quantum image processing employs quantum computing to capture, manipulate, and recover images in various formats. This requires representations of encoded images using the quantum…

quant-ph2020★ 2 cited

A Critical and Moving-Forward View on Quantum Image Processing

Fei Yan, Salvador E. Venegas-Andraca, Kaoru Hirota

Physics and computer science have a long tradition of cross-fertilization. One of the latest outcomes of this mutually beneficial relationship is quantum information science, which…

cs.RO2009★ 4 cited

Intent expression using eye robot for mascot robot system

Yoichi Yamazaki, Fangyan Dong, Yuta Masuda +5

An intent expression system using eye robots is proposed for a mascot robot system from a viewpoint of humatronics. The eye robot aims at providing a basic interface method for an…

cs.RO2009

Fuzzy inference based mentality estimation for eye robot agent

Yoichi Yamazaki, Fangyan Dong, Yuta Masuda +5

Household robots need to communicate with human beings in a friendly fashion. To achieve better understanding of displayed information, an importance and a certainty of the informa…

cs.AI2009

Eligibility Propagation to Speed up Time Hopping for Reinforcement Learning

Petar Kormushev, Kohei Nomoto, Fangyan Dong +1

A mechanism called Eligibility Propagation is proposed to speed up the Time Hopping technique used for faster Reinforcement Learning in simulations. Eligibility Propagation provide…

cs.AI2009★ 3 cited

Time Hopping technique for faster reinforcement learning in simulations

Petar Kormushev, Kohei Nomoto, Fangyan Dong +1

This preprint has been withdrawn by the author for revision