A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.

Research output: Contribution to conferencePaperpeer-review

Standard

A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions. / Gajane, Pratik; Ortner, Ronald; Auer, Peter.
2018. Paper presented at Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Sweden.

Research output: Contribution to conferencePaperpeer-review

Harvard

Gajane, P, Ortner, R & Auer, P 2018, 'A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.', Paper presented at Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Sweden, 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.. Paper presented at Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Sweden. 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. Paper presented at Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Sweden.

Author

Gajane, Pratik ; Ortner, Ronald ; Auer, Peter. / A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions. Paper presented at Lifelong Learning: A Reinforcement Learning Approach
Workshop at FAIM 2018, Stockholm, Sweden.

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 -