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 ...
IEEE

Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence

Abstract: Reinforcement Learning (RL) serves as a fundamental learning paradigm in the field of artificial intelligence, enabling decision-making policies through interactions with environments.
Morningstar

CoreWeave to Acquire OpenPipe, Leader in Reinforcement Learning

CoreWeave, Inc. (NASDAQ: CRWV), the AI Hyperscaler™, today announced a definitive agreement to acquire OpenPipe Inc, a leading platform for training AI agents with reinforcement learning (RL).
GitHub

Reinforcement Learning in Controlling Quadrotor UAV Flight Actions

This repository is divided into two main sections. The first section, "multirotor," enables users to operate a simulated drone environment using keyboard controls. It integrates YOLOv7 with TensorRT ...
GitHub

Awesome Causal Reinforcement Learning

Causal Reinforcement Learning (CRL) is a suite of algorithms, embedding causal knowledge into RL for more efficient and effective model learning, policy evaluation, or policy optimization. How ...