Towards Scalable MDP Algorithms
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2818-2818.
Abstract
The scalability of algorithms for solving Markov Decision Processes (MDPs) has been a limiting factor for MDPs as a modeling tool. This dissertation develops theoretical and empirical techniques for solving larger MDPs than was possible before, and aims to demonstrate the achieved progress by applying these new algorithms to a real-world problem.
Andrey Kolobov, Mausam, and Daniel S. Weld. 2011. Towards Scalable MDP Algorithms. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2818–2818. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-481
Kolobov, A., Mausam, & Weld, D. S. (2011). Towards Scalable MDP Algorithms. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 (pp. 2818–2818). IJCAI. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-481
@inproceedings{ijcai2011p481,
title = {Towards Scalable MDP Algorithms},
author = {Kolobov, Andrey and Mausam and Weld, Daniel S.},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2818--2818},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-481},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-481},
}
TY - CPAPER TI - Towards Scalable MDP Algorithms AU - Kolobov, Andrey AU - Mausam AU - Weld, Daniel S. T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2818 EP - 2818 DO - 10.5591/978-1-57735-516-8/IJCAI11-481 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-481 ER -Copied
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