Few-shot Imitation Learning by Variable-Length Trajectory Retrieval from a Large and Diverse Dataset
Abstract: Imitation learning offers an effective framework for enabling robots to acquire complex skills, but typically requires a large number of labeled demonstrations, making data collection costly ...
Abstract: A variable-length cross-packet hybrid automatic repeat request (VL-XP-HARQ) is proposed to boost the spectral efficiency (SE) and the energy efficiency (EE) of communications. The SE is ...
To proceed further with getting our Modelica models into production use as FMUs, we need to be able to resize arrays of models without recompilation, i.e. the FMI3 configuration mode for changing ...
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