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

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

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 ...

Intrinsic motivation, a concept drawn from behavioural science, has gained significant traction in robotic research as a means to stimulate exploratory behaviour in the absence of explicit external ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

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 ...

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 ...

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

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. The same type ...