Results 31 to 40 of about 35,395 (320)
Entropy, 2017 The Ka-band and higher Q/V band channels can provide an appealing capacity for the future deep-space communications and Space Information Networks (SIN), which are viewed as a primary solution to satisfy the increasing demands for high data rate services.
Jian Jiao +4 more
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Reinforcement Learning-Based Detection for State Estimation Under False Data Injection
IEEE Access, 2021 We consider the problem of network security under false data injection attacks over wireless sensor networks.To resist the attacks which can inject false data into communication channels according to a certain probability, we formulate the online attack ...
Weiliang Jiang +5 more
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Robust Partially Observable Markov Decision Processes
SSRN Electronic Journal, 2018 In a variety of applications, decisions needs to be made dynamically after receiving imperfect observations about the state of an underlying system. Partially Observable Markov Decision Processes (POMDPs) are widely used in such applications. To use a POMDP, however, a decision-maker must have access to reliable estimations of core state and ...
Mohammad Rasouli, Soroush Saghafian
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Partially Observable Markov Decision Processes in Robotics: A Survey
IEEE Transactions on Robotics, 2023 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 decision and control tasks under uncertainty.
Lauri, Mikko +3 more
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Nonapproximability Results for Partially Observable Markov Decision Processes
Journal of Artificial Intelligence Research, 2001 We show that for several variations of partially observable Markov decision processes, polynomial-time algorithms for finding control policies are unlikely to or simply don't have guarantees of finding policies within a constant factor or a constant summand of optimal. Here ``unlikely'' means ``unless some complexity classes collapse,''
Lusena, C., Goldsmith, J., Mundhenk, M.
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Sensors, 2022 An intelligent land vehicle utilizes onboard sensors to acquire observed states at a disorderly intersection. However, partial observation of the environment occurs due to sensor noise. This causes decision failure easily.
Lingli Yu +3 more
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Qualitative Analysis of Partially-Observable Markov Decision Processes [PDF]
, 2010 We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with omega-regular objectives. An observation-based strategy relies on partial information about the history of a play, namely, on the past sequence of observations.
Chatterjee, Krishnendu +2 more
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SystemsAs network systems become larger and more complex, there is an increasing focus on how to verify the security of systems that are at risk of being attacked. Automated penetration testing is one of the effective ways to achieve this. Uncertainty caused by
Xiaojian Liu +3 more
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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
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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