Results 11 to 20 of about 35,199 (318)

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

Entropy
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

Optimizing prescription of chinese herbal medicine for unstable angina based on partially observable markov decision process. [PDF]

Evid Based Complement Alternat Med, 2013
Feng Y, Qiu Y, Zhou X, Wang Y, Xu H, Liu B.   +5 more
europepmc   +3 more sources

Algorithms for partially observable Markov decision processes

, 2010
The thesis develops methods to solve discrete-time finite-state partially observable Markov decision processes. For the infinite horizon problem, only discounted reward case is considered. Several new algorithms for the finite horizon and the infinite horizon problems are developed. For the finite horizon problem, two new algorithms are developed.
Hsien-Te Cheng
openalex   +2 more sources

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

Jisuanji 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

Remote 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, Fernando Vanegas, Felipe Gonzalez   +2 more
doaj   +1 more source

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

Aerospace, 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

Machine 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

Machine 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

Algorithms, 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

A Corrosion Maintenance Model Using Continuous State Partially Observable Markov Decision Process for Oil and Gas Pipelines

Algorithms, 2023
This paper proposes a continuous state partially observable Markov decision process (POMDP) model for the corrosion maintenance of oil and gas pipelines.
Ezra Wari, Weihang Zhu, Gino Lim
doaj   +1 more source