Quantum Inspired Reinforcement Learning in Changing Environment

Author

Pegah Fakhari
Karthikeyan Rajagopal
S. N. Balakrishnan, Missouri University of Science and TechnologyFollow
J. R. Busemeyer

Abstract

Inspired by quantum theory and reinforcement learning, a new framework of learning in unknown probabilistic environment is proposed. Several simulated experiments are given; the results demonstrate the robustness of the new algorithm for some complex problems. Also we generalized the Grover algorithm to improve the rate of converging to an optimal path. in other words, the new generalized algorithm helps to increase the probability of selecting good actions with better weights' adjustments. © 2013 World Scientific Publishing Company.

Recommended Citation

P. Fakhari et al., "Quantum Inspired Reinforcement Learning in Changing Environment," New Mathematics and Natural Computation, World Scientific Publishing, Jan 2013.

The definitive version is available at https://doi.org/10.1142/S1793005713400073

Department(s)

Mechanical and Aerospace Engineering

International Standard Serial Number (ISSN)

1793-0057

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2013 World Scientific Publishing, All rights reserved.

Publication Date

01 Jan 2013