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Article
Demand response management of smart grid based on Stackelberg-evolutionary joint game
We investigated the real-time pricing demand response management system of multiple microgrids and multiple power users. Accordingly, we have proposed a Stackelberg-evolutionary joint game framework to examine...
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Article
Multi-channel quantum parameter estimation
The aim of quantum metrology is to exploit quantum effects to improve the precision of parameter estimation beyond its classical limit. In this paper, we investigate the quantum parameter estimation problem wi...
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Article
Hybrid MDP based integrated hierarchical Q-learning
As a widely used reinforcement learning method, Q-learning is bedeviled by the curse of dimensionality: The computational complexity grows dramatically with the size of state-action space. To combat this diffi...
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Chapter and Conference Paper
Grey Reinforcement Learning for Incomplete Information Processing
New representation and computation mechanisms are key approaches for learning problems with incomplete information or in large probabilistic environments. In this paper, traditional reinforcement learning (RL)...
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Chapter and Conference Paper
Quantum Reinforcement Learning
A novel quantum reinforcement learning is proposed through combining quantum theory and reinforcement learning. Inspired by state superposition principle, a framework of state value update algorithm is introdu...
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Chapter and Conference Paper
An Autonomous Mobile Robot Based on Quantum Algorithm
In this paper, we design a novel autonomous mobile robot which uses quantum sensors to detect faint signals and fulfills some learning tasks using quantum reinforcement learning (QRL) algorithms. In this robot...