Optimal regret bounds for selecting the state representation in reinforcement learning.

Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Citations (Scopus)

Translated title of the contribution	Optimal regret bounds for selecting the state representation in reinforcement learning.
Original language	English
Title of host publication	JMLR Workshop and Conference Proceedings Volume 28 : Proceedings of The 30th International Conference on Machine Learning
Pages	543-551
Publication status	Published - 2013

Cite this

@inproceedings{d8b079e365a64cd6b7ab8739ec6b59e5,

title = "Optimal regret bounds for selecting the state representation in reinforcement learning.",

author = "Odalric-Ambrym Maillard and Phuong Nguyen and Ronald Ortner and Daniil Ryabko",

year = "2013",

language = "English",

pages = "543--551",

booktitle = "JMLR Workshop and Conference Proceedings Volume 28 : Proceedings of The 30th International Conference on Machine Learning",

}

Optimal regret bounds for selecting the state representation in reinforcement learning. / Maillard, Odalric-Ambrym; Nguyen, Phuong; Ortner, Ronald et al.
JMLR Workshop and Conference Proceedings Volume 28 : Proceedings of The 30th International Conference on Machine Learning. 2013. p. 543-551.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Optimal regret bounds for selecting the state representation in reinforcement learning.

AU - Maillard, Odalric-Ambrym

AU - Nguyen, Phuong

AU - Ortner, Ronald

AU - Ryabko, Daniil

PY - 2013

Y1 - 2013

M3 - Conference contribution

SP - 543

EP - 551

BT - JMLR Workshop and Conference Proceedings Volume 28 : Proceedings of The 30th International Conference on Machine Learning

ER -