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  1. No Access

    Article

    Offline reinforcement learning with anderson acceleration for robotic tasks

    Offline reinforcement learning (RL) can learn effective policy from a fixed batch of data without interaction. However, the real-world requirements, such as better performance and high sample efficiency, put s...

    Guoyu Zuo, Shuai Huang, Jiangeng Li, Daoxiong Gong in Applied Intelligence (2022)

  2. No Access

    Article

    Controlling Ejection State of a Pneumatic Micro-droplet Generator Through Machine Vision Methods

    Pneumatic micro-droplet ejection is a printing technique that has potential applications in many fields, especially in the field of bio-printing. The ejection is via a solenoid valve being briefly turned on, s...

    Fei Wang, Yiwei Wang, Weijie Bao, Hui Zhang… in International Journal of Precision Enginee… (2020)

  3. No Access

    Article

    Air Pollutant Concentration Forecast Based on Support Vector Regression and Quantum-Behaved Particle Swarm Optimization

    In order to improve the forecasting accuracy of atmospheric pollutant concentration, a prediction model of atmospheric PM2.5 and nitrogen dioxide (NO2) concentration based on support vector regression (SVR) is es...

    **aoli Li, Aorong Luo, Jiangeng Li, Yang Li in Environmental Modeling & Assessment (2019)

  4. No Access

    Article

    A Filter Feature Selection Method Based on MFA Score and Redundancy Excluding and It’s Application to Tumor Gene Expression Data Analysis

    Feature selection techniques have been widely applied to tumor gene expression data analysis in recent years. A filter feature selection method named marginal Fisher analysis score (MFA score) which is based o...

    Jiangeng Li, Lei Su, Zenan Pang in Interdisciplinary Sciences: Computational Life Sciences (2015)

  5. No Access

    Article

    Tumor-specific gene expression patterns with gene expression profiles

    Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their d...

    **aogang Ruan, Yingxin Li, Jiangeng Li, Daoxiong Gong… in Science in China Series C (2006)

  6. No Access

    Chapter and Conference Paper

    Reinforcement Learning Based on Multi-agent in RoboCup

    Multi-agent systems form a particular type of distributed artificial intelligence systems. As an important character of players in game, autonomous agents’ learning has become the main direction of researchers...

    Wei Zhang, Jiangeng Li, **aogang Ruan in Advances in Intelligent Computing (2005)