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

Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles With Deep Reinforcement Learning

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...
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 ...