Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...
The Göteborg Film Festival has announced that Ruben Östlund will take part in what they have described as an exclusive Q&A session at next year’s Nordic Film Market, where the filmmaker will discuss ...
Learning is often seen as something we do when everything else slows down. But what if it became the very force that drives how we work? In this reflection on the UN 2.0 vision and UNDP’s People ...
With Apps in ChatGPT, Coursera is available to provide on demand education to users without breaking the flow of the conversation. When you’re deep into a project at 10 p.m. and suddenly need to learn ...
After two decades in Hollywood, the newly married actress decided to step away from Los Angeles after losing her home in a mudslide; now she's starring in one of the only L.A.-centric series on TV. By ...
Philadelphia, April 17, 2025 – Researchers from Children’s Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully ...
Discusses how charts created by teachers and students can enhance creativity and facilitate cooperative learning in the classroom. It highlights the benefits of using charts for clarity, adaptability, ...
The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...
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