Yann LeCun and Brown researchers unveil counterfactual world models for robots

Insight about how 'nature makes no leaps' promises better robot predictions

Machine learning researchers have developed a technique that allows world models to make better predictions about how objects will behave.World models are used to train physical AI systems like robots how to navigate the real world. They predict the consequences of actions. But they do so based on observed data. These models could provide better direction to robots if they were able to make inferences about possible actions without being trained…

Yann LeCun and Brown researchers unveil counterfactual world models for robots

Yann LeCun and Brown University researchers unveil counterfactual world models that sharply boost robot success rates in simulated tests.