How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
EurekAlert!

Multi-constraint reinforcement learning in complex robot environments

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Global AI Use Case Report Highlights Emerging Opportunities Across Industries

Exploring How Generative AI, Edge AI, and Quantum Machine Learning Are Revolutionizing Healthcare, Finance, Logistics, and Media With Real World Solutions and Expert Insights”Boston, Jan. 12, 2026 ...
IEEE

A Complete Coverage Path Planning Algorithm for Mobile Robot Based on Improved Deep Reinforcement Learning

Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...