To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

Rachel Reeves is scapegoating supermarkets for rising oil prices while ignoring algorithms that can learn ant-competitive ...

08/27/2025: Megatron-RL is actively under development. While it is functional internally at NVIDIA, it is not yet usable by external users because not all required code has been released. The ...

ABSTRACT: Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Critically, quantum wave ...

Agent Lightning is an agent optimization framework that enables agents to learn from their experiences through reinforcement learning and other methods. By treating agents as first-class citizens, ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

Abstract: To enhance the intelligence of autonomous trajectory planning for Autonomous underwater vehicles (AUVs) in complex Ocean environments, we propose a reinforcement learning algorithm for 3D ...

Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs ...

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...