Although chatbots such as ChatGPT, which are powered by large language models (LLMs), have some sense of time, it is conceptualized in a completely different way. As we increasingly interact with them ...

Abstract: This paper investigates the robust control problem of Markov jump linear systems (MJLSs) with unknown transition probabilities (TPs). While existing temporal difference learning (TDL) ...

Learn how to solve boundary value problems in Python using the finite difference method! 🐍📐 This tutorial walks you step-by-step through setting up the problem, discretizing the domain, and ...

A dynamical systems approach to the analyses of neural data shows that autism spectrum disorder (ASD) is characterized by specific temporal patterning of the neural activity that may affect the ...

Back to the Future's iconic Marty McFly guitar scene contains a number of timeline conundrums fans have noted many times over the years. But chief among them is a mistake that revolves around the ...

Abstract: Temporal difference (TD) learning is a fundamental technique in reinforcement learning that updates value function estimates for states or state-action pairs using a TD target. This target ...

Want to impress friends with something simple but mind-blowing? This elastic band magic trick is perfect for beginners — easy to learn, super visual, and done with just two rubber bands!

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...

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, ...

In today’s rapidly evolving business environment, talent and learning development (L&D) leaders are tasked with ensuring their programs drive measurable impact. But navigating the learning technology ...