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Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
April 10, 2024, 4:42 a.m. | Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng
cs.LG updates on arXiv.org arxiv.org
Abstract: The mathematical formula is the human language to describe nature and is the essence of scientific research. Finding mathematical formulas from observational data is a major demand of scientific research and a major challenge of artificial intelligence. This area is called symbolic regression. Originally symbolic regression was often formulated as a combinatorial optimization problem and solved using GP or reinforcement learning algorithms. These two kinds of algorithms have strong noise robustness ability and good Versatility. …
abstract artificial artificial intelligence arxiv challenge context cs.ai cs.lg data demand generative generative pre-trained transformer human intelligence language major nature regression reinforcement reinforcement learning research scientific scientific research transformer type
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