Abstract: Mobile Edge Computing (MEC) leverages embedded devices to deliver low-latency and cost-effective intelligent services, such as autonomous driving. Federated learning allows MEC devices to ...

Abstract: Sparsity has recently attracted increased attention in the machine learning (ML) community due to its potential to improve performance and energy efficiency by eliminating ineffectual ...

this file is for uploading. rm -rf dist rm -rf build rm -rf sparse_learning.egg-info python setup.py sdist bdist_wheel twine upload dist/*.tar.gz rm -rf dist rm -rf build rm -rf ...

In this tutorial, we explore Online Process Reward Learning (OPRL) and demonstrate how we can learn dense, step-level reward signals from trajectory preferences to solve sparse-reward reinforcement ...

As a data scientist, I have a handful of books that serve as important resources for my work in the field – “Statistical Learning with Sparsity – The Lasso and Generalizations” by Trevor Hastie, ...

This is the official code implementation for the paper "Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning", accepted at Transactions on Machine Learning Research (TMLR). Figure 2 from ...