SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and satellite communications. Princeton researchers use reinforcement learning ...
Languages have highly diverse structures—e.g. some place verbs first, others elsewhere—and this diversity is remarkably uneven across the globe. In some regions, languages show a variety of verb ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Abstract: Multi-agent inverse reinforcement learning (IRL) aims to identify Pareto-efficient behavior in a multi-agent system, and reconstruct utility functions of the individual agents. Motivated by ...
1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...
NEW YORK, June 30 (UPI) --For the millions of Americans battling autoimmune disorders, new hope may be on the horizon in the form of reverse or inverse vaccines -- injections that target a specific ...
This Matlab class implements a number of functions for audio signal analysis. Simply copy the file zaf.m in your working directory and you are good to go. Compute the short-time Fourier transform ...
If this presidential cycle has unified us on anything, it might be that cognitive decline is a hard thing to talk about. Both President Biden and former President Trump face plenty of criticism, ...
After someone experiences a spinal cord injury, doctors set off on a race against the clock. Within a few hours, they rush patients into surgery and administer anti-inflammatory drugs, ranging from ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...
Abstract: We apply inverse reinforcement learning (IRL) with a novel cost feature to the problem of robot navigation in human crowds. Consistent with prior empirical work on pedestrian behavior, the ...