Interest in reinforcement learning has grown steadily over the last decade. In a recent post, I described emerging applications of … More
Tag: reinforcement learning
Understanding the Ray ecosystem and community
Ray is both a general purpose distributed computing platform and a collection of libraries targeted at machine learning and other … More
Enterprise Applications of Reinforcement Learning: Recommenders and Simulation Modeling
[This post originally appeared on the Anyscale blog.]
Building accessible tools for large-scale computation and machine learning
[A version of this post appears on the O’Reilly Radar.] In this episode of the Data Show, I spoke with … More
Notes from the first Ray meetup
[A version of this post appears on the O’Reilly Radar.] Ray is beginning to be used to power large-scale, real-time … More
Unleashing the potential of reinforcement learning
[A version of they post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Danny Lange on how reinforcement … More
Machine learning needs machine teaching
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Mark Hammond on applications of … More
Introducing RLlib: A composable and scalable reinforcement learning library
[A version of this post appears on the O’Reilly Radar.] RISE Lab’s Ray platform adds libraries for reinforcement learning and … More
Practical applications of reinforcement learning in industry
[A version of this post appears on the O’Reilly Radar.] An overview of commercial and industrial applications of reinforcement learning. … More
Why continuous learning is key to AI
[A version of this post appears on the O’Reilly Radar.] A look ahead at the tools and methods for learning … More
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