PaLM-E: An embodied multimodal language model

Favorite Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions.

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Shared by Google AI Technology March 10, 2023

Portfolio optimization through multidimensional action optimization using Amazon SageMaker RL

Favorite Reinforcement learning (RL) encompasses a class of machine learning (ML) techniques that can be used to solve sequential decision-making problems. RL techniques have found widespread applications in numerous domains, including financial services, autonomous navigation, industrial control, and e-commerce. The objective of an RL problem is to train an agent

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Shared by AWS Machine Learning March 9, 2023