Abstract: The complexity of modern system and manufacturing process development often leads to inefficiencies in responsiveness, cost, and quality. This article presents a comprehensive methodology ...
How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...
Abstract: We study the use of large language models (LLMs) to integrate high-level knowledge in stochastic games using reinforcement learning with reward machines to encode non-Markovian and Markovian ...
For years, prediction market founders and their backers have operated on a simple assumption: Register as a federally regulated designated contract market, plug into the Commodity Exchange Act, and ...
Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...
This study proposes a robust optimization framework for the joint optimization of tanker deployment and refueling strategies under uncertainties in berthing times and fuel prices. Unlike traditional ...
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback