Yinlam Chow
About
Yinlam Chow has authored 28 papers that have received a total of 352 indexed citations.
This includes 17 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 7 papers in Management Science and Operations Research. The topics of these papers are Reinforcement Learning in Robotics (11 papers), Risk and Portfolio Optimization (5 papers) and Advanced Bandit Algorithms Research (4 papers). Yinlam Chow is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Risk and Portfolio Optimization (5 papers) and Advanced Bandit Algorithms Research (4 papers) and collaborates with scholars based in United States, Germany and France. Yinlam Chow's co-authors include Mohammad Ghavamzadeh, Marco Pavone, Junjie Qin, Jiyan Yang and Ofir Nachum and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid
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