Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

New open-source Python-based software boosts space-weather modeling

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...
IEEE

Intelligent Reinforcement Learning and Control for Humanoid Locomotion Using Self-Triggered Adaptive Dynamic Programming

Abstract: Humanoid robots are increasingly deployed in complex environments, where achieving stable and robust locomotion remains a major challenge due to model uncertainties, payload variations, and ...
The Hechinger Report

The quest to build a better AI tutor

University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.
IEEE

Model-Free Robust Beamforming in Satellite Downlink Using Reinforcement Learning

Abstract: Satellite-based communications are expected to be a substantial future market in 6G networks. As satellite constellations grow denser and transmission resources remain limited, frequency ...
Purdue University

Machine Learning in Action: Tools, Techniques, and Industrial Cases

Machine Learning in Action: Tools, Techniques, and Industrial Cases Bring machine learning to life with Machine Learning in Action. This hands-on course teaches you how to build and apply eight key ...