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Partially Observable Markov Decision Processes in Robotics A Survey

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DOI
10.1109/TRO.2022.3200138
Lauri, Mikko; Hsu, David; Pajarinen, Joni
IEEE Transactions on Robotics2022

Partially Observable Model-Based Learning for ISAC Resource Allocation

Referentgranskad
DOI
10.1109/ICASSP48485.2024.10448312
Pulkkinen, Petteri; Koivunen, Visa
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing2024

Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable Markov decision processes

Referentgranskad
DOI
10.1109/TMC.2013.39
Pajarinen, Joni; Hottinen, Ari; Peltonen, Jaakko
IEEE transactions on mobile computing2014

Real-time Tracking System with Partially Coupled Sources

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DOI
10.1109/LCOMM.2025.3588270
Vilni, Saeid Sadeghi; Wichman, Risto
IEEE Communications Letters2025

Goal-oriented Remote Tracking of an Unobservable Multi-State Markov Source

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DOI
10.1109/WCNC57260.2024.10570600
Zakeri, Abolfazl; Moltafet, Mohammad; Codreanu, Marian
IEEE Wireless Communications and Networking Conference2024

A partially observable multi-ship collision avoidance decision-making model based on deep reinforcement learning

Referentgranskad
DOI
10.1016/j.ocecoaman.2023.106689
Zheng, Kangjie; Zhang, Xinyu; Wang, Chengbo; Zhang, Mingyang; Cui, Hao
Ocean and Coastal Management2023

Semantic-aware Real-time Tracking of a Markov Source under Sampling and Transmission Costs

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DOI
10.1109/IEEECONF59524.2023.10476949
Zakeri, Abolfazl; Moltafet, Mohammad; Codreanu, Marian
Asilomar Conference on Signals, Systems, and Computers proceedings2023

Optimal Importance Sampling in Markov Process Simulation

Referentgranskad
Hyytiä, Esa; Virtamo, Jorma T.
-2001

Partially hidden Markov models for privacy-preserving modeling of indoor trajectories

Referentgranskad
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DOI
10.1016/j.neucom.2017.05.035
Jitta, Aditya; Klami, Arto
Neurocomputing2017

Process control using finite Markov chains with iterative clustering

Referentgranskad
DOI
10.1016/j.compchemeng.2016.05.007
Ikonen, Enso; Selek, Istvan; Najim, Kaddour
Computers and chemical engineering2016

Partially Observable Markov Decision Processes in Robotics A Survey

Referentgranskad
Öppen tillgång
DOI
10.1109/TRO.2022.3200138
2022

Partially Observable Model-Based Learning for ISAC Resource Allocation

Referentgranskad
DOI
10.1109/ICASSP48485.2024.10448312
2024

Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable Markov decision processes

Referentgranskad
DOI
10.1109/TMC.2013.39
2014

Real-time Tracking System with Partially Coupled Sources

Referentgranskad
Öppen tillgång
DOI
10.1109/LCOMM.2025.3588270
2025

Goal-oriented Remote Tracking of an Unobservable Multi-State Markov Source

Referentgranskad
Öppen tillgång
DOI
10.1109/WCNC57260.2024.10570600
2024

A partially observable multi-ship collision avoidance decision-making model based on deep reinforcement learning

Referentgranskad
DOI
10.1016/j.ocecoaman.2023.106689
2023

Semantic-aware Real-time Tracking of a Markov Source under Sampling and Transmission Costs

Referentgranskad
Öppen tillgång
DOI
10.1109/IEEECONF59524.2023.10476949
2023

Optimal Importance Sampling in Markov Process Simulation

Referentgranskad
2001

Partially hidden Markov models for privacy-preserving modeling of indoor trajectories

Referentgranskad
Öppen tillgång
DOI
10.1016/j.neucom.2017.05.035
2017

Process control using finite Markov chains with iterative clustering

Referentgranskad
DOI
10.1016/j.compchemeng.2016.05.007
2016