Liking features on social media can provide troves of data about human behavior to AI models. But as AI gets smarter, will it ...

The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by ...

Jakub Pachocki, who leads the firm’s development of advanced models, is excited to release an open version to researchers.

Study: Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills ... demonstrating participants' ability to use real-time feedback for improvement.

Stanford University and Simon Fraser University researchers have developed a new AI system that enables humanoid robots to ...

ChatGPT users have become frustrated with the AI model's tone, and OpenAI is taking action. After widespread mockery of the ...

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions ...

Building upon the current methods in the application of Reinforcement Learning (RL) to the large language models (LLMs), this paper introduces Reinforcement Learning from Experience Feedback (RLXF ...

As the interest in AI agents and LLM tool use continues to increase ... methods used to fine-tune LLMs, such as Reinforcement Learning from Human Feedback (RLHF) or RL from AI Feedback (RLAIF ...