IEEE

NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem

Path planning is usually solved by addressing either the (high-level) route planning problem (waypoint sequencing to achieve the final goal) or the (low-level) path planning problem (trajectory ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
IEEE

Deep Reinforcement Learning With Integer Optimization for Dynamic Slab Assignment Problem

Abstract: This article investigates a dynamic slab assignment problem (DSAP) that arises in the slab production process of steel industry. In DSAP, a set of slabs and orders arrive dynamically at each ...
WFAA8

Texas could have an expensive pipe problem in this deep freeze

DALLAS — When bitter winter comes to Texas, you may be one of many who repeatedly exclaims that you are not built for this kind of weather extreme. Your home may have a similar complaint. Up north, ...
Frontiers

Situated learning and the problem of scientific inference

Department of Educational Psychology, University of Nevada, Las Vegas, NV, United States Challenging the dominant view of learning as abstract content internalization, Situated Learning Theory (SLT) ...