MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning

MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning

Background: There has been an increasing surge of interest on development of advanced Reinforcement Learning (RL) systems as intelligent approaches to learn optimal control policies directly from smart agents' interactions with the environment. Objectives: In a model-free RL method with continu...

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Bibliographic Details
Main Authors: Parvin Malekzadeh, Mohammad Salimibeni, Arash Mohammadi, Akbar Assa, Konstantinos N. Plataniotis
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
Kalman temporal difference
multiple model adaptive estimation
model-free
Q-learning
Online Access:https://ieeexplore.ieee.org/document/9136644/

Internet

https://ieeexplore.ieee.org/document/9136644/

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