Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...

What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...

Reinforcement learning (RL) is a subfield of machine learning dedicated to teaching agents to make a sequence of decisions through interactions with a dynamic environment. In RL, an agent observes the ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

Autonomous vehicles (AVs) have the potential to transform transportation systems by improving safety, efficiency, accessibility, and comfort. However, developing reliable control policies for AVs to ...

SAN FRANCISCO--(BUSINESS WIRE)--Baseten, the company powering inference for the world’s fastest-growing AI products, today announced that it has acquired Parsed, a reinforcement learning startup ...

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range. Scientists at ...

Ike Obi does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Left to right: Baseten Cofounder and CTO Amir Haghighat, Parsed Cofounder and CEO Mudith Jayasekara, and Parsed Cofounder and Chief Scientist, Charles O’Neill. The acquisition adds world-class ...