AI visionaries predict an 'Era of Experience' where AI learns autonomously, and it will have important implications for ...

Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea into practice in the 1980s and set the stage for the likes of ChatGPT.

For organizations with clearly defined problems and verifiable answers, RFT offers a compelling way to align models.

Reinforcement Learning (RL) is a type of machine learning ... This can be impractical in real-world applications where interactions are costly, such as in robotics or autonomous driving.

As multimodal AI combines text, video, images, and audio to enable immersive content creation across industries like media, ...

OpenAI is making reinforcement fine-tuning (RFT) available to external developers using the o4-mini reasoning model. This ...

Explore the hidden trade-offs of reinforcement learning in AI and why base models might hold the key to true intelligence.

and reinforcement learning. Examples will be drawn form the entire spectrum of energy applications to illustrate the applications of ML approaches, the hands-on use of Python notebooks will be a key ...

Nevertheless, the list of applications where reinforcement learning researchers have been able to design good reward signals is growing. A big success of reinforcement learning was in the board ...