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    Chapter and Conference Paper

    A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment

    Sparse-reward reinforcement learning environments pose a particular challenge because the agent receives infrequent rewards, making it difficult to learn an optimal policy. In this paper, we propose NSSE, a no...

    ** Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen… in Artificial Intelligence XL (2023)

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    Chapter and Conference Paper

    DRAM Row Activation Energy Optimization for Stride Memory Access on FPGA-Based Systems

    FPGA-based systems consisting external memory have been extensively employed in data intensive applications such as signal, image, and network processing. Memory energy is a dominating factor in the overall sy...

    Ren Chen, Viktor K. Prasanna in Applied Reconfigurable Computing (2015)