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Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards. / Neustroev, Greg; de Weerdt, Mathijs; Verzijlbergh, Remco.

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. Association for the Advancement of Artificial Intelligence (AAAI), 2019. p. 292-300.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Neustroev, G, de Weerdt, M & Verzijlbergh, R 2019, Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards. in Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. Association for the Advancement of Artificial Intelligence (AAAI), pp. 292-300, 29th International Conference on Automated Planning and Scheduling, Berkeley, United States, 11/07/19.

APA

Neustroev, G., de Weerdt, M., & Verzijlbergh, R. (2019). Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards. In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling (pp. 292-300). Association for the Advancement of Artificial Intelligence (AAAI).

Vancouver

Neustroev G, de Weerdt M, Verzijlbergh R. Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards. In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. Association for the Advancement of Artificial Intelligence (AAAI). 2019. p. 292-300

Author

Neustroev, Greg ; de Weerdt, Mathijs ; Verzijlbergh, Remco. / Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards. Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. Association for the Advancement of Artificial Intelligence (AAAI), 2019. pp. 292-300

BibTeX

@inproceedings{b53d955e75d6481f932e3bd98cc5439b,
title = "Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards",
author = "Greg Neustroev and {de Weerdt}, Mathijs and Remco Verzijlbergh",
year = "2019",
language = "English",
pages = "292--300",
booktitle = "Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling",
publisher = "Association for the Advancement of Artificial Intelligence (AAAI)",

}

RIS

TY - GEN

T1 - Discovery of Optimal Solution Horizons in Non-Stationary Markov Decision Processes with Unbounded Rewards

AU - Neustroev, Greg

AU - de Weerdt, Mathijs

AU - Verzijlbergh, Remco

PY - 2019

Y1 - 2019

M3 - Conference contribution

SP - 292

EP - 300

BT - Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling

PB - Association for the Advancement of Artificial Intelligence (AAAI)

ER -

ID: 55227725