Quantum Inspired Reinforcement Learning in Changing Environment
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.
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
Mechanical and Aerospace Engineering
International Standard Serial Number (ISSN)
Article - Journal
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