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

Fast Digital Circuit Synthesis Framework Based on Deep Reinforcement Learning Using Scoreboard

Abstract: In a field of circuit design that uses deep learning such as layout optimization, parameter optimization, and circuit synthesis automation, the proposed framework, fast-GateRL, addresses the ...
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 ...