How to train procedurally generated game-like environments at scale with Amazon SageMaker RL

Favorite A gym is a toolkit for developing and comparing reinforcement learning algorithms. Procgen Benchmark is a suite of 16 procedurally-generated gym environments designed to benchmark both sample efficiency and generalization in reinforcement learning.  These environments are associated with the paper Leveraging Procedural Generation to Benchmark Reinforcement Learning (citation). Compared

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Shared by AWS Machine Learning January 13, 2021

Hosting a private PyPI server for Amazon SageMaker Studio notebooks in a VPC

Favorite Amazon SageMaker Studio notebooks provide a full-featured integrated development environment (IDE) for flexible machine learning (ML) experimentation and development. Security measures secure and support a versatile and collaborative environment. In some cases, such as to protect sensitive data or meet regulatory requirements, security protocols require that public internet access

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Shared by AWS Machine Learning January 12, 2021

AWS Announces the global expansion of AWS CCI Solutions

Favorite We’re excited to announce the global availability of AWS Contact Center Intelligence (AWS CCI) solutions powered by AWS AI Services and made available through the AWS Partner Network. AWS CCI solutions enable you to leverage AWS machine learning (ML) capabilities with your current contact center provider to gain greater

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Shared by AWS Machine Learning January 12, 2021

The importance of Conversation Management in KM

Favorite Why do we hear so much about Content Management in Knowledge Management, and so little about Conversation Management? Image from wikimedia commonsCC licenceAttribution Dean Calma, IAEA Happy New Year to all readers of this blog. I have been blogging about Knowledge Management topics on an almost daily basis since

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Shared by Nick Milton January 8, 2021