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Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...
The demand for large-scale data samples has always been a significant bottleneck in the application of artificial intelligence methods in the field of electromagnetic compatibility (EMC) of integrated ...
Stanford's Eric Sun has created sophisticated machine learning frameworks that measure biological aging at single-cell resolution, discovering cell types that can dramatically accelerate or ...
Knowledge transfer from teacher agent to student agent in reinforcement learning addresses the issue of sample inefficiency resulting from random exploration. However, existing approaches usually ...