Forward Search Value Iteration for POMDPs
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2619-2623.
Abstract
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods which quickly converge to an approximate solution for medium-sized problems. Of this family HSVI, which uses trial-based asynchronous value iteration, can handle the largest domains. In this paper we suggest a new algorithm, FSVI, that uses the underlying MDP to traverse the belief space towards rewards, finding sequences of useful backups, and show how it scales up better than HSVI on larger benchmarks.
Guy Shani, Ronen I. Brafman, and Solomon Eyal Shimony. 2007. Forward Search Value Iteration for POMDPs. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 2619–2623. https://ijcai.org/proceedings/2007/421
Shani, G., Brafman, R. I., & Shimony, S. E. (2007). Forward Search Value Iteration for POMDPs. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 (pp. 2619–2623). IJCAI. https://ijcai.org/proceedings/2007/421
@inproceedings{ijcai2007p421,
title = {Forward Search Value Iteration for POMDPs},
author = {Shani, Guy and Brafman, Ronen I. and Shimony, Solomon Eyal},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2619--2623},
year = {2007},
url = {https://ijcai.org/proceedings/2007/421},
}
TY - CPAPER TI - Forward Search Value Iteration for POMDPs AU - Shani, Guy AU - Brafman, Ronen I. AU - Shimony, Solomon Eyal T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2619 EP - 2623 UR - https://ijcai.org/proceedings/2007/421 ER -Copied
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