Parameterized MDPs and Reinforcement Learning Problems--A Maximum Entropy Principle-Based Framework-Reference-Cited by-同舟云学术

Parameterized MDPs and Reinforcement Learning Problems--A Maximum Entropy Principle-Based Framework

Published:2021 Issue: Volume: Page:1-13
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Srivastava Amber,Salapaka Srinivasa M.

Funder

National Science Foundation

U.S. Department of Energy

Dynamic Research Enterprise for Multidisciplinary Engineering Sciences DREMES---collaboration between Zhejiang University and the University of Illinois at Urbana--Champaign

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09517030.pdf?arnumber=9517030

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