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