NVIDIA researchers introduced ProRL AGENT, a scalable infrastructure designed for reinforcement learning (RL) training of multi-turn LLM agents. By adopting a ‘Rollout-as-a-Service’ philosophy, the ...
Hispanic children face significant problem-solving challenges due to the simultaneous linguistic and cognitive demands of mathematics. This study examined the effectiveness of comprehension strategy ...
Professor of Management Science Associate Dean for Research and Innovation Maria Paola Scaparra is a Professor of Management Science and a member of the Centre for Logistics and Heuristic Optimisation ...
PyPSA-DE is a sector-coupled energy system model based on the toolbox PyPSA and the European model PyPSA-Eur. It solves a linear optimization problem to simulate the electricty and hydrogen ...
Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States Simons Center for Computational Chemistry and ...
Laboratoire National des Champs Magnétiques Intenses, EMFL, CNRS UPR 3228, Université Grenoble Alpes, Université Toulouse, Université Toulouse 3, INSA-T, 38042 Grenoble and 31400 Toulouse, France ...
Abstract: Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been recognized as a promising technique to overcome spectrum scarcity and massive connectivity issues envisioned in ...
Decision-making is a complex action requiring efficient information processing. Specifically, in movement in which performance efficiency depends on reaction time, e.g., open-loop controlled movements ...
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