Titlebook: Artificial Intelligence and Industrial Applications; Smart Operation Mana Tawfik Masrour,Anass Cherrafi,Ibtissam El Hassani Conference proc

Expediency

Prediction of Robot Localization States Using Hidden Markov Models,s of a robot, which can move within an area of 9 squares. This robot is equipped with the sensing system, which detects obstacles in four directions: north, south, east and west. The sensors have an error rate of e = 25%. The objective of this work is the prediction of the robot localization using Hidden Markov Model.

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谆谆教诲

aesthetic

incubus

Markov Decision Processes with Discounted Costs over a Finite Horizon: Action Elimination,nt algorithm by linking the recursive approach and the action elimination procedures. It is a powerful analytical tool used for sequential decision making under uncertainty that have been widely used in many industrial manufacturing, financial fields and artificial intelligence.

责怪

A New Approach for Multi-agent Reinforcement Learning,cumulated reward received from environment and from other agents. We treat the multi-agent system as a unique entity. We define, state, action of the system and the value of each state with respect to the global policy of the system.

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Conference proceedings 2021ng them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject..

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Mediocre

https://doi.org/10.1007/978-3-658-45875-1e data to analyze them in order to detect failures and to estimate the time of the good functioning of a device. Then the choice of the appropriate procedure is provided by the decision support, which sends it in turn for it to be planned and executed. Finally, an evaluation module to check the smooth execution.