Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

ADELPHI, Md. -- Army researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The Nemotron 3 family of open models — in Nano, Super and Ultra sizes — introduces the most efficient family of open models ...

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 ...

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 ...

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 ...

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 ...