In 2026, neural network research is advancing in efficiency, adaptability, and workflow reasoning, yet the MLRegTest benchmark shows persistent weaknesses in rule generalization. Researchers are ...
This video shows our RA-L paper "Interactive incremental learning of generalizable skills with local trajectory modulation" by Markus Knauer, Alin Albu-Schäffer, Freek Stulp and João Silvério.
In 2026, neural networks are achieving unprecedented capabilities in workflow reasoning and cross-domain integration, yet benchmarks like MLRegTest expose persistent failures in rule abstraction and ...
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