Published November 22, 2021 | Version v1
Dataset Open

Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)

  • 1. Universidad Carlos III de Madrid
  • 2. Haption
  • 3. CNRS University of Rennes Inria, IRISA, Rennes, France

Description

Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset.

The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; ROBOASSET, ”Sistemas robóticos inteligentes de diagnóstico y rehabilitación de ter apias de miembro superior”, PID2020-113508RB-I00 funded by AGENCIA ESTATAL DE INVESTIGACION (AEI); and “Programa propio de investigación convocatoria de movilidad 2020” from Universidad Carlos III de Madrid. The original data used in this project was obtained from mocap.cs.cmu.edu. The original data was created with funding from NSF EIA-0196217.

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