NBC4 Columbus

AgiBot Achieves First Real-World Deployment of Reinforcement Learning in Industrial Robotics

SHANGHAI, Nov. 2, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...
EurekAlert!

A graph reinforcement learning framework for real-time distributed multi-robot task allocation

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Manulife Financial Corporation: Manulife Selects Adaptive ML as Reinforcement Learning Engine to Scale Enterprise AI

Partnership accelerates progress on Manulife's proprietary AI platform with real-time model optimization TORONTO and NEW YORK, Dec. 22, 2025 /PRNewswire/ -- Manulife announced today that it ...
The Next Web

Everything you need to know about model-free and model-based reinforcement learning

Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.
American Institute of Physics

Control management system for incorporating hydraulic power into hybrid electric vehicles

Reinforcement learning algorithm enables hydraulic power without power switching complications, enabling improved energy ...