Results 1 to 10 of about 34,774 (179)

Research on Distributed Multi-Sensor Cooperative Scheduling Model Based on Partially Observable Markov Decision Process [PDF]

open access: yesSensors, 2022
In the context of distributed defense, multi-sensor networks are required to be able to carry out reasonable planning and scheduling to achieve the purpose of continuous, accurate and rapid target detection.
Zhen Zhang   +3 more
doaj   +2 more sources

An algorithm to create model file for Partially Observable Markov Decision Process for mobile robot path planning [PDF]

open access: yesMethodsX
The Partially Observable Markov Decision Process (POMDP), a mathematical framework for decision-making in uncertain environments suffers from the curse of dimensionality.
Shripad V. Deshpande   +3 more
doaj   +2 more sources

Partially Observable Risk-Sensitive Markov Decision Processes [PDF]

open access: yesMathematics of Operations Research, 2017
We consider the problem of minimizing a certainty equivalent of the total or discounted cost over a finite and an infinite time horizon that is generated by a partially observable Markov decision process (POMDP). In contrast to a risk-neutral decision maker, this optimization criterion takes the variability of the cost into account.
Bäuerle, Nicole, Rieder, Ulrich
openaire   +4 more sources

DRL-Based Scheduling for AoI Minimization in CR Networks with Perfect Sensing [PDF]

open access: yesEntropy
Age of Information (AoI) is a newly introduced metric that quantifies the freshness and timeliness of data, playing a crucial role in applications reliant on time-sensitive information. Minimizing AoI through optimal scheduling is challenging, especially
Juan Sun, Shubin Zhang, Xinjie Yu
doaj   +2 more sources

Wireless Downlink Scheduling with Deadline Constraint for Realistic Channel Observation Environment [PDF]

open access: yesJisuanji kexue, 2021
Deadline-constrained wireless downlink transmissions,which have been widely used for a variety of real-time communication services that are related to the national economy and the people's livelihood,require each packet to be delivered in an ultra ...
ZHANG Fan, GONG Ao-yu, DENG Lei, LIU Fang, LIN Yan, ZHANG Yi-jin
doaj   +1 more source

Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments

open access: yesRemote Sensing, 2023
Coordinating multiple unmanned aerial vehicles (UAVs) for the purposes of target finding or surveying points of interest in large, complex, and partially observable environments remains an area of exploration.
Violet Walker   +2 more
doaj   +1 more source

Radar Anti-Jamming Countermeasures Intelligent Decision-Making: A Partially Observable Markov Decision Process Approach

open access: yesAerospace, 2023
Current electronic warfare jammers and radar countermeasures are characterized by dynamism and uncertainty. This paper focuses on a decision-making framework of radar anti-jamming countermeasures.
Huaixi Xing, Qinghua Xing, Kun Wang
doaj   +1 more source

Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2—Applications in Transportation, Industries, Communications and Networking and More Topics

open access: yesMachine Learning and Knowledge Extraction, 2021
The two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) for solving partially observable Markov decision processes (POMDP) problems.
Xuanchen Xiang, Simon Foo, Huanyu Zang
doaj   +1 more source

Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing

open access: yesMachine Learning and Knowledge Extraction, 2021
The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems.
Xuanchen Xiang, Simon Foo
doaj   +1 more source

A Discrete Partially Observable Markov Decision Process Model for the Maintenance Optimization of Oil and Gas Pipelines

open access: yesAlgorithms, 2023
Corrosion is one of the major causes of failure in pipelines for transporting oil and gas products. To mitigate the impact of this problem, organizations perform different maintenance operations, including detecting corrosion, determining corrosion ...
Ezra Wari, Weihang Zhu, Gino Lim
doaj   +1 more source

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