It turns out that training an AI in a perfectly controlled environment may help it perform better in chaotic, real-world ...

including dynamic action spaces, offline learning, intelligent neural exploration, safe decision making, history summarization, and data augmentation. You can find many Pearl agent candidates with mix ...

2024) is introduced. A different formulation for this calculation from the literature is required due to the use of the continuous PDM and action space. Coverage planning algorithms have been around ...

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas ...

Billionaire Elon Musk vowed Tuesday to bring home the two astronauts who have been stuck in space for about eight months “as soon as possible” – and blasted the Biden White House for not ...

A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user's kitchen, since this new environment differs from its ...

A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user's kitchen, since this new environment differs from its ...

India just launched its first mission of 2025. The Indian Space Research Organisation's (ISRO) Geosynchronous Satellite Launch Vehicle (GSLV) lifted off from Satish Dhawan Space Centre on schedule ...

AI agents trained in simulations that differ from the environments where they are deployed sometimes perform better than agents trained and deployed in the same environment, research shows.

CAMBRIDGE, MA – A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user’s kitchen, since this new ...