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  1. No Access

    Article

    PAC-Bayesian offline Meta-reinforcement learning

    Meta-reinforcement learning (Meta-RL) utilizes shared structure among tasks to enable rapid adaptation to new tasks with only a little experience. However, most existing Meta-RL algorithms lack theoretical gen...

    Zheng Sun, Chenheng **g, Shangqi Guo, Lingling An in Applied Intelligence (2023)

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    Article

    Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos

    Due to the costly collection of expert demonstrations for robots, robot imitation learning suffers from the demonstration-insufficiency problem. A promising solution to this problem is self-supervised learning...

    Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen in Applied Intelligence (2022)

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    Article

    Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video

    Video representation learning is a significant problem of video understanding. However, the complex entangled spatiotemporal information in frames makes video representation learning a very tough task. Many st...

    Pengfei Sun, **n Su, Shangqi Guo, Feng Chen in Applied Intelligence (2020)