all AI news
Google AI Introduces A Novel Reinforcement Learning (RL) Training Paradigm, ‘ActorQ,’ To Speed Up Actor-Learner Distributed RL Training
MarkTechPost www.marktechpost.com
Several sequential decision-making challenges, like robotics, gaming, nuclear physics, balloon navigation, etc., have been successfully addressed using deep reinforcement learning. However, despite its potential, prolonged training times are one of its limitations. Although the present method for accelerating RL training on challenging problems uses distributed training to scale up to thousands of processing nodes, it […]
The post Google AI Introduces A Novel Reinforcement Learning (RL) Training Paradigm, ‘ActorQ,’ To Speed Up Actor-Learner Distributed RL Training appeared first on MarkTechPost …
ai paper summary ai shorts applications artificial intelligence country deep learning distributed editors pick google machine learning paradigm reinforcement reinforcement learning speed staff tech news technology training unicorns usa