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J Intell Manuf DOI 10.1007/s1084501612377Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks Stephane R. A. Barde1 Soumaya Yacout2 Hayong Shin1Received:.

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Reinforcement learning (RL) is a model-free framework for solving optimal control problems stated as Markov decision processes (MDPs) (Puterman, 1994). MDPs work in discrete time: at each time step, the controller receives feedback from the system in the form of a state signal, and takes an action in response.

Aside from the agent and the environment, a reinforcement learning model has four essential components: a policy, a reward, a value function, and an environment model.

Policy search is a subfield in reinforcement learning which focuses on finding good parameters for a given policy parametrization. It is well suited for robotics as it can cope with high-dimensional state and action spaces, one of the main challenges in robot learning.

A reinforcement learning policy is a mapping from the current environment observation to a probability distribution of the actions to be taken. A value function is a mapping from an environment observation (or observation-action pair) to the value (the expected cumulative long-term reward) of a policy.

The two main types of policies in reinforcement learning are 1) deterministic policies and 2) stochastic policies.

A "control policy" is a heuristic that suggests a particular set of actions in response to the current state of the agent (in your case, a robot) and the environment. In the case of reinforcement learning, a policy is parameterized by the network weights.

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Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
DMCA Policy
About Us
Blog
Affiliates
Contact Us
Privacy Notice
Delete My Account
Site Map
All Forms
Search all Forms
Industries
Forms in Spanish
Localized Forms
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate workflows
DocHub
Instapage
Social Media
Call us now toll free:
1-877-389-0141
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232