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Conference Paper

Advice-Guided Reinforcement Learning in a non-Markovian Environment

MPS-Authors
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Neider,  Daniel
Group R. Majumdar, Max Planck Institute for Software Systems, Max Planck Society;

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Gavran,  Ivan
Group R. Majumdar, Max Planck Institute for Software Systems, Max Planck Society;

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https://ojs.aaai.org/index.php/AAAI/article/view/17096/16903
(Publisher version)

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Citation

Neider, D., Gaglione, J.-R., Gavran, I., Topcu, U., Wu, B., & Xu, Z. (2021). Advice-Guided Reinforcement Learning in a non-Markovian Environment. In AAAI Technical Track on Machine Learning III (pp. 9073-9080). Palo Alto, CA: AAAI. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17096.


Cite as: https://hdl.handle.net/21.11116/0000-0009-559C-8
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