Reasoning and predicting POMDP planning complexity via covering numbers

Author:

Zhang Zongzhang,Fu Qiming,Zhang Xiaofang,Liu Quan

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference30 articles.

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2. Madani O, Hanks S, Condon A. On the undecidability of probabilistic planning and infinite-horizon partially observable Markov decision problems. In: Proceedings of the 16th National Conference on Artificial Intelligence (AAAI). 1999, 541–548

3. Smith T, Simmons R. Point-based POMDP algorithms: improved analysis and implementation. In: Proceedings of International Conference on Uncertainty in Artificial Intelligence (UAI). 2005, 542–547

4. Pineau J, Gordon G, Thrun S. Anytime point-based approximations for large POMDPs. Journal of Artificial Intelligence Research, 2006, 27: 335–380

5. Kurniawati H, Hsu D, Lee W S. SARSOP: efficient point-based POMDP planning by approximating optimally reachable belief spaces. In: Proceedings of Robotics: Science and Systems (RSS). 2008

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