Multilevel Monte-Carlo for Solving POMDPs Online-Reference-Cited by-同舟云学术

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Multilevel Monte-Carlo for Solving POMDPs Online

Published:2022 Issue: Volume: Page:174-190
ISSN:2511-1256
Container-title:Springer Proceedings in Advanced Robotics
language:
Short-container-title:

Author:

Hoerger Marcus,Kurniawati Hanna,Elfes Alberto

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95459-8_11

Reference35 articles.

1. Agha-Mohammadi, A.A., Chakravorty, S., Amato, N.M.: FIRM: feedback controller-based information-state roadmap-a framework for motion planning under uncertainty. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4284–4291. IEEE (2011)

2. Anderson, D.F., Higham, D.J.: Multilevel Monte Carlo for continuous time Markov chains, with applications in biochemical kinetics. Multiscale Model. Simul. 10(1), 146–179 (2012)

3. Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)

4. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2–3), 235–256 (2002)

5. Bai, H., Hsu, D.: Unmanned aircraft collision avoidance using continuous-state POMDPs. In: Robotics: Science and Systems VII, vol. 1, pp. 1–8 (2012)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Domain independent heuristics for online stochastic contingent planning;Annals of Mathematics and Artificial Intelligence;2024-07-08

2. Rollout Heuristics for Online Stochastic Contingent Planning;Electronic Proceedings in Theoretical Computer Science;2023-09-30

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