Using Homomorphisms to Transfer Options Across Continuous Reinforcement Learning Domains
Abstract
Following ethical and research standards, we will comprehensively report the methodology for a systematic analysis following Rodgers' concept analysis method. Our systematic concept analysis will contribute to the clarification of the two concepts and distinction in their application in given settings and circumstances. Such a broad concept analysis will contribute to non-systematic syntheses of the concepts, or occasional systematic reviews on one of the concepts that have been published in specific disciplines, in order to facilitate interdisciplinary communication, translational medical research and implementation science.
Cite
Text
Soni and Singh. "Using Homomorphisms to Transfer Options Across Continuous Reinforcement Learning Domains." AAAI Conference on Artificial Intelligence, 2006. doi:10.1136/bmjopen-2021-060326Markdown
[Soni and Singh. "Using Homomorphisms to Transfer Options Across Continuous Reinforcement Learning Domains." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/soni2006aaai-using/) doi:10.1136/bmjopen-2021-060326BibTeX
@inproceedings{soni2006aaai-using,
title = {{Using Homomorphisms to Transfer Options Across Continuous Reinforcement Learning Domains}},
author = {Soni, Vishal and Singh, Satinder},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {494-499},
doi = {10.1136/bmjopen-2021-060326},
url = {https://mlanthology.org/aaai/2006/soni2006aaai-using/}
}