Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments-Reference-Cited by-同舟云学术

Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Sheidlower Isaac¹,Moore Allison¹,Short Elaine¹

Affiliation:

1. Tufts University School of Engineering

Funder

National Science Foundation

Publisher

IEEE

Link

Reference37 articles.

1. Reward Shaping via Meta-Learning;zou;ArXiv,2019

2. Deep reinforcement learning from human preferences;christiano;ArXiv,0

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4. Modeling Variation in Human Feedback with User Inputs: An Exploratory Methodology;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

5. Music Generation using Human-In-The-Loop Reinforcement Learning;2023 IEEE International Conference on Big Data (BigData);2023-12-15