Results 21 to 30 of about 1,043,955 (228)

Markov Decision Process for Video Generation [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
We identify two pathological cases of temporal inconsistencies in video generation: video freezing and video looping. To better quantify the temporal diversity, we propose a class of complementary metrics that are effective, easy to implement, data ...
V. Yushchenko, Nikita Araslanov, S. Roth
semanticscholar   +1 more source

On Cognitive Searching Optimization in Semi-Markov Jump Decision Using Multistep Transition and Mental Rehearsal

open access: yesComplexity, 2021
Cognitive searching optimization is a subconscious mental phenomenon in decision making. Aroused by exploiting accessible human action, alleviating inefficient decision and shrinking searching space remain challenges for optimizing the solution space ...
Bingxuan Ren, Tangwen Yin, Shan Fu
doaj   +1 more source

Health Status-Based Predictive Maintenance Decision-Making via LSTM and Markov Decision Process

open access: yesMathematics, 2022
Maintenance decision-making is essential to achieve safe and reliable operation with high performance for equipment. To avoid unexpected shutdown and increase machine life as well as system efficiency, it is fundamental to design an effective maintenance
Pan Zheng   +4 more
doaj   +1 more source

Partially Observable Markov Decision Processes in Robotics: A Survey [PDF]

open access: yesIEEE Transactions on robotics, 2022
Noisy sensing, imperfect control, and environment changes are defining characteristics of many real-world robot tasks. The partially observable Markov decision process (POMDP) provides a principled mathematical framework for modeling and solving robot ...
M. Lauri, David Hsu, J. Pajarinen
semanticscholar   +1 more source

Dynamic virtual machine management via approximate Markov decision process [PDF]

open access: yesIEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016
Efficient virtual machine (VM) management can dramatically reduce energy consumption in data centers. Existing VM management algorithms fall into two categories based on whether the VMs' resource demands are assumed to be static or dynamic.
Zhenhua Han   +5 more
semanticscholar   +1 more source

Risk-Sensitive Markov Decision Processes of USV Trajectory Planning with Time-Limited Budget

open access: yesSensors, 2023
Trajectory planning plays a crucial role in ensuring the safe navigation of ships, as it involves complex decision making influenced by various factors. This paper presents a heuristic algorithm, named the Markov decision process Heuristic Algorithm (MHA)
Yi Ding, Hongyang Zhu
doaj   +1 more source

Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process

open access: yesIEEE/ACM Transactions on Networking, 2019
In mobile edge computing, local edge servers can host cloud-based services, which reduces network overhead and latency but requires service migrations as users move to new locations.
Shiqiang Wang   +5 more
semanticscholar   +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

Automatic Horizon Picking Using Multiple Seismic Attributes and Markov Decision Process

open access: yesRemote Sensing, 2023
Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing.
Chengliang Wu   +5 more
doaj   +1 more source

A Weighted Markov Decision Process [PDF]

open access: yesOperations Research, 1992
The two most commonly considered reward criteria for Markov decision processes are the discounted reward and the long-term average reward. The first tends to “neglect” the future, concentrating on the short-term rewards, while the second one tends to do the opposite.
Krass, D, Filar, JA, Sinha, SS
openaire   +3 more sources

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