Research Data from Tsinghua University Update Understanding of Neural Networks and Learning Systems (Exploration With Task Information for Meta Reinforcement Learning)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Researchers detail new data in Networks - Neural Networks and Learning Systems. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Meta reinforcement learning (meta-RL) is a promising technique for fast task adaptation by leveraging prior knowledge from previous tasks. Recently, context-based meta-RL has been proposed to improve data efficiency by applying a principled framework, dividing the learning procedure into task inference and task execution.”