Business Wire

Reinforcement Learning 2020: Applications, Innovations and Growth Opportunities ...

DUBLIN--(BUSINESS WIRE)--The "Towards Being Truly Intelligent: Next Wave of AI Technologies (Wave 2 - Reinforcement Learning)" report has been added to ResearchAndMarkets.com's offering. As autonomy ...
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 ...
The Robot Report

AgiBot deploys its Real-World Reinforcement Learning system

AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.
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 ...
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 ...
VentureBeat

Demystifying deep reinforcement learning

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Deep reinforcement learning is one of the ...
The Next Web

This new robotics challenge could bring us closer to human-level AI

Since the early decades of artificial intelligence, humanoid robots have been a staple of sci-fi books, movies, and cartoons. Yet, after decades of research and development in AI, we still have ...
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 ...