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Supplementary Material for "Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks"

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posted on 2024-01-26, 18:35 authored by Daniel Harnack, Julie Pivin-Bachler, Nicolás Navarro-GuerreroNicolás Navarro-Guerrero

This directory contains the supplementary material for the following journal paper:

Harnack, D., Pivin-Bachler, J., & Navarro-Guerrero, N. (2022). Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks. Neural Computing and Applications. Special Issue on Human-aligned Reinforcement Learning for Autonomous Agents and Robots. https://doi.org/10.1007/s00521-022-07949-0

Contact:
For information please see the paper. For specific questions regarding the paper please contact: Nicolás Navarro-Guerrero.

Funding

M-Rock - Modeling the human-machine interaction for the continuous improvement of robot behavior

Federal Ministry of Education and Research

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