Results 51 to 60 of about 937,585 (275)
Decision Making for Autonomous Vehicles [PDF]
arXiv, 2023 This paper is on decision making of autonomous vehicles for handling roundabouts. The round intersection is introduced first followed by the Markov Decision Processes (MDP), the Partially Observable Markov Decision Processes (POMDP) and the Object Oriented Partially Observable Markov Decision Process (OOPOMDP).
arxiv
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
doaj +1 more source
Evidential Decision Theory via Partial Markov Categories [PDF]
arXiv, 2023 We introduce partial Markov categories. In the same way that Markov categories encode stochastic processes, partial Markov categories encode stochastic processes with constraints, observations and updates. In particular, we prove a synthetic Bayes theorem; we apply it to define a syntactic partial theory of observations on any Markov category, whose ...
arxiv
Aquatic Conservation: Marine and Freshwater Ecosystems, Volume 32, Issue 12, Page 1926-1939, December 2022., 2022 Abstract Stellate sturgeon (Acipenser stellatus) is a species of great conservation concern throughout its range. Over the past century, it has experienced a dramatic decline in abundance and distribution in the Black Sea basin. Information regarding the genetic structure of the species is very limited in the region, despite its crucial importance for ...
Daniela Nicoleta Holostenco +16 more
wiley +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
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
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
A Bayesian homogeneity test for comparing Poisson populations
Applied Stochastic Models in Business and Industry, Volume 38, Issue 6, Page 1158-1171, November/December 2022., 2022 Abstract For a wide class of daily applications in industrial quality control, there may be interest in comparing several Poisson means. A large catalogue of frequentist procedures for this hypothesis testing problem is available. However, some common drawbacks of them are their low power, interpretation of the p$$ p $$‐values for multiple comparison ...
Francisco Javier Girón +2 more
wiley +1 more source
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes [PDF]
arXiv, 2023 Reinforcement learning has been greatly improved in recent studies and an increased interest in real-world implementation has emerged in recent years. In many cases, due to the non-static disturbances, it becomes challenging for the agent to keep the performance.
arxiv
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
doaj +1 more source