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Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization

PaperCitations, authors & open-access status

Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization have?

ScholarIQcitation count

Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization has 103 citations in the OpenAlex counts ScholarIQ stores.

When was Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization published?

ScholarIQyear

Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization has 2023 year in the ScholarIQ index.

What is the open-access status of Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization?

ScholarIQoa status

Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization has closed oa status in the ScholarIQ index.

What is the DOI of Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization?

ScholarIQdoi

The DOI for Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization is on the source record.

What is the OpenAlex record for Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization?

ScholarIQopenalex

The OpenAlex for Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization is on the source record.

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