Tag: UC Berkeley

Machine Learning & Data Science Nature Language Tech Popular

New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing

Researchers introduce a test covering topics such as elementary mathematics, designed to measure language models’ multitask accuracy.

AI Research

Get a Grip! Berkeley Targets Dexterous Manipulation Using Deep RL

UC Berkeley researchers have published a paper demonstrating how Deep Reinforcement Learning can be used to control dexterous robot hands for complicated tasks. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations proposes a low-cost and high-efficiency control method that uses demonstration and simulation techniques to accelerate the learning process.