AWS simplifies AI agent customization with automated reinforcement learning

A similar update is coming to Amazon SageMaker AI, which is a more advanced AI machine learning platform that allows ...

New training method boosts AI multimodal reasoning with smaller, smarter datasets

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful agentic AI more accessible.

Curinos Secures U.S. Patent for Adaptive AI That Unites Generative and Reinforcement Learning -- Advancing Decision Intelligence for Financial Institutions

Unlike conventional generative AI tools that restart from a blank slate each time, the Curinos system remembers, adapts, and improves, preserving what performs best while aligning with the strict ...
Nature

Reinforcement learning improves behaviour from evaluative feedback

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

Harnessing Sequential Decision Intelligence For Smarter Retail Pricing

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...
Interesting Engineering on MSN

DoorMan: Humanoid robot trained in new system beats human operators at opening doors

A simulation-trained DoorMan system helps a Unitree G1 outperform human operators in door opening speed and reliability.