IEEE

Deep Reinforcement Learning-Driven Dynamic Spectrum Access in Dense Wi-Fi Environments

Abstract: The rapid growth of wireless devices and bandwidth-intensive applications in urban environments has exacerbated spectrum congestion in Wi-Fi networks, resulting in performance degradation in ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
IEEE

Deep Reinforcement Learning for Distribution System Operations: A Tutorial and Survey

The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...
blockchain

PyTorch for Deep Learning Professional Certificate Launches: Advanced AI Skills and Deployment Training

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...
VentureBeat

Vibe coding platform Cursor releases first in-house LLM, Composer, promising 4X speed boost

The vibe coding tool Cursor, from startup Anysphere, has introduced Composer, its first in-house, proprietary coding large language model (LLM) as part of its Cursor 2.0 platform update. Composer is ...
Business Wire

Fireworks AI Raises $250M Series C to Lead the AI Inference Market

Investors Lightspeed, Index Ventures and Evantic bet on Fireworks as the infrastructure backbone for enterprise AI adoption. REDWOOD CITY, Calif.--(BUSINESS WIRE)--Fireworks AI, the AI inference cloud ...
Morningstar

Lightning Launches New Suite of Tools for PyTorch Developers and Researchers

Lightning, creators of PyTorch Lightning, today announced a suite of new tools built to accelerate distributed training, reinforcement learning, and experimentation for PyTorch developers and ...
GitHub

Deep Reinforcement Learning in Robotics

In this tutorial, we'll be creating artificially intelligent agents that learn from interacting with their environment, gathering experience, and a system of rewards with deep reinforcement learning ...
marktechpost

MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs

Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation and sparse attention, models often suffer from ...
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 ...