Results 41 to 50 of about 35,199 (318)
Methods for Risk-Based Planning of O&M of Wind Turbines
Energies, 2014 In order to make wind energy more competitive, the big expenses for operation and maintenance must be reduced. Consistent decisions that minimize the expected costs can be made based on risk-based methods.
Jannie Sønderkær Nielsen +1 more
doaj +1 more source
POMDP-lite for Robust Robot Planning under Uncertainty
, 2016 The partially observable Markov decision process (POMDP) provides a principled general model for planning under uncertainty. However, solving a general POMDP is computationally intractable in the worst case.
Chen, Min +3 more
core +1 more source
Decision Modeling of UAV On-Line Path Planning Based on IMM [PDF]
Xibei Gongye Daxue Xuebao, 2018 In order to enhance the capability of tracking targets autonomously of UAV, a model for UAV on-line path planning is established based on the theoretical framework of partially observable markov decision process(POMDP).
doaj +1 more source
Optimal Control of Partially Observable Piecewise Deterministic Markov Processes
, 2018 In this paper we consider a control problem for a Partially Observable Piecewise Deterministic Markov Process of the following type: After the jump of the process the controller receives a noisy signal about the state and the aim is to control the ...
Bäuerle, Nicole, Lange, Dirk
core +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Sensor Scheduling for Optimal Observability Using Estimation Entropy [PDF]
, 2006 We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process is observed by a single sensor which needs to be dynamically adjusted or by
Rezaeian, Mohammad
core +3 more sources
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning
IEEE AccessReinforcement learning in environments with visual observations presents challenges due to incomplete individual observations. The lack of complete information leads to increased uncertainty in decision-making, which requires agents to be supplemented ...
Matvey Gerasyov +2 more
doaj +1 more source
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks
Algorithms, 2020 A Pseudo-Random Number Generator (PRNG) is any algorithm generating a sequence of numbers approximating properties of random numbers. These numbers are widely employed in mid-level cryptography and in software applications.
Luca Pasqualini, Maurizio Parton
doaj +1 more source
Stochastic Tools for Network Intrusion Detection
, 2017 With the rapid development of Internet and the sharp increase of network crime, network security has become very important and received a lot of attention. We model security issues as stochastic systems.
Chen Lu, J Zheng, L Yu, Paul Baecher
core +1 more source