Machine learning (ML) might be considered the core subset of artificial intelligence (AI), and reinforcement learning may be the quintessential subset of ML that people imagine when they think of AI.

Agentic AI systems are revolutionizing how organizations approach complex workflows, introducing autonomous agents capable of multi-step reasoning, decision-making, and task execution that operate ...

How reinforcement learning works. In such application domains, edge devices’ AI brains must rely on reinforcement learning, in which, lacking a pre-existing “ground truth” training data set ...

Personalizer, which is part of Azure Cognitive Services within the Azure AI platform, uses a more cutting-edge approach to machine learning called reinforcement learning, in which AI agents can ...

Tamay Besiroglu, cofounder and CEO of the startup Mechanize, wants AI to enable the "full automation" of all jobs.

Point72 Ventures led a $12 million seed round for Pokee AI, a new Seattle-area startup aiming to build AI agents that ...

Grok, the chatbot created by Elon Musk’s xAI, began responding with violent posts this week after the company tweaked its ...

Reinforcement learning (RL) is a powerful type of artificial intelligence technology that can be used to learn strategies to optimally control large, complex systems such as manufacturing plants ...

Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial technique for enhancing the performance and alignment of AI systems, particularly large language models (LLMs). By ...

The reinforcement learning problem in AI is how to design agents that achieve their goals by perceiving and acting in their environments. Reinforcement learning makes a bold claim: ...

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.