New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
IEEE

Reinforcement Learning Generalization for Quadrotor With Slung Load Systems Through Homogeneity Transformations

Abstract: Load transportation through unmanned aerial vehicles (UAVs), such as quadrotors, has a high potential for quick deliveries to locations that are out of the reach of ground vehicles. The ...
Frontiers

Fear learning and generalization in youth with early-stage transdiagnostic psychiatric symptoms and the impact of acute exercise

Background: Adolescence and early adulthood represent critical periods for the emergence of psychiatric symptoms, often spanning multiple symptom dimensions. Alterations in fear learning and ...
GitHub

visual-reinforcement-learning

This is a fork of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization" to make it more portable for ease of use in research. The goal of this repository is to provide an easier way ...
Frontiers

Editorial: Computer vision and AI in real-world applications: robustness, generalization, and engineering

Much progress has been made in computer vision and artificial intelligence over the last few years, with some techniques staying at the forefront and used in diverse domains and real scenarios. This ...
Psychology Today

Clarifying Common Myths About Behaviorism in Education

My recent article, "Behavior Modification Is Everywhere: Why Education Can’t Afford to Pretend Otherwise," sparked thoughtful, even passionate, comments from readers. These responses highlighted ...
Wired

Pioneers of Reinforcement Learning Win the Turing Award

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, ...