Monte-Carlo Robot Path Planning

Author:

Dam Tuan1ORCID,Chalvatzaki Georgia1ORCID,Peters Jan1ORCID,Pajarinen Joni1ORCID

Affiliation:

1. Department of Computer Science, Technische Universität, Darmstadt, Germany

Funder

German Research Foundation

Emmy Noether Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference40 articles.

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2. Point-based POMDP algorithms: Improved analysis and implementation;smith;Proc 21st Conf Uncertainty Artif Intell,0

3. Online algorithms for pomdps with continuous state, action, and observation spaces;sunberg;Proc 28th Int Conf Automated Plan Scheduling,0

4. Monte-Carlo planning in large POMDPs;silver;Proc Adv Neural Inf Process Syst,0

5. Stochastic Motion Planning Under Partial Observability for Mobile Robots With Continuous Range Measurements

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