Published on: 2025-05-20 02:00:29
Deep neural networks will be crucial to future human–machine teams aiming to modernize safety-critical systems. Yet DNNs have at least two key problems: Researchers have proposed many defense schemes to counter many attack vectors, yet none have yet secured DNNs from adversarial examples (AEs). This DNN vulnerability to AEs renders their role in safety-critical systems problematic. Enter the Adversarial Reinforcement Learning Agent (ARLA), a novel AE attack based on reinforcement learning tha
Keywords: adversarial agent arla learning reinforcement
Find related items on AmazonPublished on: 2025-07-02 04:30:30
imaginima/Getty Images Some of the flashiest achievements in artificial intelligence in the past decade have come from a technique by which the computer acts randomly from a set of choices and is rewarded or punished for each correct or wrong move. It's the technique most famously employed in AlphaZero, Google DeepMind's 2016 program that achieved mastery at the games of chess, shogi, and Go in 2018. The same approach helped the AlphaStar program achieve "grandmaster" play in the video game St
Keywords: ai computer learning reinforcement sutton
Find related items on AmazonPublished on: 2025-07-02 08:27:57
Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in which machines learn through a reward-based trial-and-error approach that lets them adapt within constrained or dynamic environments. Andrew G. Barto, a professor emeritus at the University of Massachusetts Amherst; and Richard S. Sutton, a professor at the University of Alberta, developed key algorithms and theories through a seminal series of papers starting in the 198
Keywords: ai computing learning prize reinforcement
Find related items on AmazonPublished on: 2025-07-02 14:03:31
ACM has named Andrew G. Barto and Richard S. Sutton as the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas, constructed the mathematical foundations, and developed important algorithms for reinforcement learning—one of the most important approaches for creating intelligent systems. Barto is Professor Emeritus of Information an
Keywords: barto learning reinforcement rl sutton
Find related items on AmazonPublished on: 2025-07-03 00:00:00
In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, with the technique they pioneered now increasingly critical to modern artificial intelligence and programs like ChatGPT, Barto and Sutton have been awarded the Turing Award, the highest honor in the field of computer science. Barto, a professor emeritus at the University of Massachusetts Amherst, and
Keywords: ai barto learning reinforcement sutton
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