In this guide to the canine adolescent years, Christopher Pachel, DVM, DACVB, CABC (IAABC), breaks down this critical phase—from hormones to the prefrontal cortex—based on his 2026 VMX session in ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Grab(NASDAQ:GRAB), a Southeast Asian superapp for rides and deliveries, closed Tuesday at $5.27, up 3.54%. Grab IPO'd in 2020 and has fallen 56% since going public. Trading volume reached 70.7 million ...
NEW YORK CITY, NY / ACCESS Newswire / January 6, 2026 / Classover Holdings, Inc. (NASDAQ:KIDZ, KIDZW) ("Classover" or the "Company"), a leading provider in K-12 educational AI, today announced that it ...
Abstract: Q-learning (QL) is a widely used algorithm in reinforcement learning (RL), but its convergence can be slow, especially when the discount factor is close to one. Successive over-relaxation ...
Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have ...
Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...
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 ...
Andrew Barto and Richard Sutton developed reinforcement learning, a technique vital to chatbots like ChatGPT. By Cade Metz Reporting from San Francisco In 1977, Andrew Barto, as a researcher at the ...
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