March 7, 2022, 5:37 p.m. | Synced

Synced syncedreview.com

In the new paper Learning Robust Real-Time Cultural Transmission Without Human Data, a DeepMind research team proposes a procedure for training artificially intelligent agents capable of flexible, high-recall, robust real-time cultural transmission from human co-players in a rich 3D physical simulation without using human data in the training pipeline.


The post DeepMind Trains AI Agents Capable of Robust Real-time Cultural Transmission Without Human Data first appeared on Synced.

agents ai artificial intelligence data deepmind deep & reinforcement learning human machine learning machine learning & data science ml real-time research technology time trains zero shot learning

More from syncedreview.com / Synced

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US