InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
usace.army.mil

Army researchers develop innovative framework for training AI

ADELPHI, Md. — Army researchers developed a pioneering framework that provides a baseline for the development of collaborative multi-agent systems. The framework is detailed in the survey paper ...
InfoWorld

Reinforcement learning comes into AI’s mainstream

One of the most noteworthy artificial intelligence trends in 2018 has been the maturation of reinforcement learning into a mainstream approach for building and training statistical models to do useful ...
VentureBeat

Reinforcement learning competition pushes the boundaries of embodied AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Since the early decades of artificial intelligence, humanoid robots have ...
InfoWorld

What is deep reinforcement learning: The next step in AI and deep learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job Reinforcement learning has traditionally ...
The Next Web

Debunking the mysteries of deep reinforcement learning

Deep reinforcement learning is one of the most interesting branches ofartificial intelligence. It is behind some of the most remarkable achievements of the AI community, including beating human ...