Integral reinforcement learning off-policy method for solving nonlinear multi-player nonzero-sum games with saturated actuator

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Integral reinforcement learning off-policy method for solving nonlinear multi-player nonzero-sum games with saturated actuator
Authors
Keywords
adaptive dynamic programming, nonzero-sum game, reinforcement learning, off-policy, constrained optimal control
Journal
NEUROCOMPUTING
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-01-18
DOI
10.1016/j.neucom.2019.01.033

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.