The Reinforcement Gap — or why some AI skills improve faster than others

AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the ...
eWeek

How OpenAI Trained to Beat the World’s Best Coders: Interview With Research Lead Ahmed El-Kishky

The hosts of The Neuron podcast interview OpenAI Research Lead Ahmed El-Kishky after the company’s win at the International ...
IEEE

Resource-Aware Personalized Federated Learning Based on Reinforcement Learning

Abstract: Federated learning is an effective solution to protect data privacy, but the efficiency and performance of the entire federated system are challenging to balance due to the heterogeneity of ...
Deep Learning with Yacine on MSN

How to Implement Stochastic Gradient Descent with Momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Deep Learning with Yacine on MSN

Nesterov Accelerated Gradient (NAG) From Scratch in Python – Step-by-Step Tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient #Mach ...
IEEE

Data-Model Hybrid-Driven Safe Reinforcement Learning for Adaptive Avoidance Control Against Unsafe Moving Zones

Abstract: With the gradual application of reinforcement learning (RL), safety has emerged as a paramount concern. This article presents a novel data-model hybrid-driven safe RL (SRL) scheme to address ...