Modeling Variation in Human Feedback with User Inputs: An Exploratory Methodology

Author:

Huang Jindan1ORCID,Aronson Reuben M.1ORCID,Short Elaine Schaertl1ORCID

Affiliation:

1. Tufts University, Medford, MA, USA

Funder

US National Science Foundation

Publisher

ACM

Reference53 articles.

1. Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, and Shin-ichi Maeda. Dqn-tamer: Human-in-the-loop reinforcement learning with intractable feedback. arXiv preprint arXiv:1810.11748, 2018.

2. Learning Dynamic Robot-to-Human Object Handover from Human Feedback

3. Andrea Lockerd Thomaz, Guy Hoffman, and Cynthia Breazeal. Real-time interactive reinforcement learning for robots. In AAAI 2005 workshop on human comprehensible machine learning, 2005.

4. Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L Griffiths, and Alexei A Efros. Investigating human priors for playing video games. arXiv preprint arXiv:1802.10217, 2018.

5. Interactive machine learning

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