GitHub

Omega-Centauri-21/Reinforcement-Learning-Tutorial

Have you heard about the amazing results achieved by Deepmind with AlphaGo Zero and by OpenAI in Dota 2? It's all about deep neural networks and reinforcement learning. Do you want to know more about ...
GitHub

SanatPopliNEU/agentic_reinforcement_tutorial_ai

This project implements a sophisticated multi-agent reinforcement learning system for adaptive educational technology, fulfilling all requirements of the "Reinforcement Learning for Agentic AI Systems ...
Princeton University

The Neuroscience of Reinforcement Learning

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational ...
Princeton University

The Neuroscience of Reinforcement Learning

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational ...
IEEE

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial

Abstract: Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have led to multiple successes in solving sequential decision-making problems in various domains, ...
IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...