When you reach a point of having advanced lung disease, or caring for someone who does, there may be some uncomfortable topics you have not yet explored that need to be discussed. It is inevitable to ...
Abstract: Inimitation learning, it is often assumed the demonstration data are optimal, even though they are imperfect in practice. The imperfect demonstrations result from expert errors, large-scale ...
Hezbollah is upgrading its drone tactics by incorporating fiber-optic tech and strategies from the Ukraine war, aiming to enhance its attacks against Israel amid supply shortages and evolving threats ...
Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...
Autonomous robots may be able to drive through rush hour traffic in Los Angeles, which can test the sanity of even the most skilled human drivers, but robots have yet to master the science of grasping ...
A paper appearing in Proceedings of the National Academy of Sciences offers a strikingly simple answer to a longstanding question: How do people learn and settle on shared social conventions, from ...
Whit Pruitt Dongyi Wang, an assistant professor of agricultural and biological engineering and researcher with the U of A Division of Agriculture. Autonomous robots may be able to drive through rush ...
Abstract: We present a learning algorithm for training a single policy that imitates multiple gaits of a walking robot. To achieve this, we use and extend MPC-Net, which is an Imitation Learning ...
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