Title

Quantum Inspired Reinforcement Learning in Changing Environment

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.

Department(s)

Mechanical and Aerospace Engineering

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2013 World Scientific Publishing, All rights reserved.

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