A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

CHRISTMAS is a time of light, joy and goodwill – until the board games come out. The skitter of dice along a table, the ...

Zoie Saunders, in an interview with VTDigger, said that it was "really of paramount importance that we stay the course" with lawmakers due to address a critical part of reform envisioned in Act 73 ...

In Forbes, Fast Forward's Shannon Farley interviews Google.org’s Jen Carter about how an emerging class of AI-powered ...

Abstract: This paper compares the control strategies of three reinforcement learning algorithms, namely, Q-learning, SARSA, and Double Q-learning for the CartPole-V1 simulation environment using the ...

Abstract: This paper focuses on solving the linear quadratic regulator problem for discrete-time linear systems without knowing system matrices. The classical Q-learning methods for linear systems can ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Welcome to the latest installment in our series on blended learning. In our previous posts, we’ve explored what blended learning is and delved into its strengths and weaknesses. We’ve also examined ...