Kissing Number Breakthrough: PackingStar AI Advances | AcademicJobs
Peking University and Fudan researchers use PackingStar RL to set new kissing number lower bounds in dimensions 25-31, revolutionizing high-dimensional sphere packing.
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Chengdong Ma is a Ph.D. student at the Institute for Artificial Intelligence, Peking University.
His research interests include reinforcement learning, game theory, and their intersection with mathematical problems, with focus on multi-agent systems and reinforcement learning for mathematical problems such as discrete geometry.
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Peking University and Fudan researchers use PackingStar RL to set new kissing number lower bounds in dimensions 25-31, revolutionizing high-dimensional sphere packing.
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