A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
Standard
A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions. / Gajane, Pratik; Ortner, Ronald; Auer, Peter.
2018. Beitrag in Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Schweden.
2018. Beitrag in Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Schweden.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
Harvard
Gajane, P, Ortner, R & Auer, P 2018, 'A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.', Beitrag in Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Schweden, 14/07/18. <https://arxiv.org/abs/1805.10066>
Workshop at FAIM 2018, Stockholm, Schweden, 14/07/18. <https://arxiv.org/abs/1805.10066>
APA
Gajane, P., Ortner, R., & Auer, P. (2018). A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.. Beitrag in Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Schweden. https://arxiv.org/abs/1805.10066
Workshop at FAIM 2018, Stockholm, Schweden. https://arxiv.org/abs/1805.10066
Vancouver
Gajane P, Ortner R, Auer P. A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.. 2018. Beitrag in Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Schweden.
Workshop at FAIM 2018, Stockholm, Schweden.
Author
Bibtex - Download
@conference{f387d15baf884b85a014f2ccd5393bc0,
title = "A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.",
author = "Pratik Gajane and Ronald Ortner and Peter Auer",
year = "2018",
language = "English",
note = "Lifelong Learning: A Reinforcement Learning Approach<br/>Workshop at FAIM 2018 ; Conference date: 14-07-2018",
url = "https://sites.google.com/view/llarla2018",
}
RIS (suitable for import to EndNote) - Download
TY - CONF
T1 - A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.
AU - Gajane, Pratik
AU - Ortner, Ronald
AU - Auer, Peter
PY - 2018
Y1 - 2018
M3 - Paper
T2 - Lifelong Learning: A Reinforcement Learning Approach<br/>Workshop at FAIM 2018
Y2 - 14 July 2018
ER -
