A biologically plausible reinforcement learning model that integrates associative memory and hippocampal remapping explains context-dependent flexible behavior, neural dynamics, and psychosis-related ...

Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...

Study authors Hunter Schweiger (left) and Ash Robbins. Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

Dr. Bruce Levy's finding that Alex Maze died of shaken baby syndrome was critical in the murder conviction of his father, Russell Maze. Decades later, Levy says he believes Maze is innocent. In the ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Monday - Friday, 2:00 - 3:00 PM ET In this article Maze Therapeutics has had a great run since its initial public offering in January — and CEO Jason Coloma is hoping that momentum continues as the ...

Researchers from The University of Tokyo have found that single cells in collective chemotaxis act like agents in distributed reinforcement learning, utilizing the environment as an “external memory” ...