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  1. No Access

    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)...

    Chunlin Chen, Daoyi Dong, Zonghai Chen in Theory and Applications of Models of Computation (2006)

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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...

    Daoyi Dong, Chunlin Chen, Zonghai Chen in Advances in Natural Computation (2005)

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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...

    Daoyi Dong, Chunlin Chen, Chenbin Zhang… in Computational Intelligence and Security (2005)